Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care.
Use of an interactive computer system designed to assist the physician or other health professional in choosing between certain relationships or variables for the purpose of making a diagnostic or therapeutic decision.
Computer-based systems that enable management to interrogate the computer on an ad hoc basis for various kinds of information in the organization, which predict the effect of potential decisions.
Mathematical or statistical procedures used as aids in making a decision. They are frequently used in medical decision-making.
Computer programs based on knowledge developed from consultation with experts on a problem, and the processing and/or formalizing of this knowledge using these programs in such a manner that the problems may be solved.
Adjunctive computer programs in providing drug treatment to patients.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
Information systems, usually computer-assisted, that enable providers to initiate medical procedures, prescribe medications, etc. These systems support medical decision-making and error-reduction during patient care.
Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.
Computer systems utilized as adjuncts in the treatment of disease.
Systems used to prompt or aid the memory. The systems can be computerized reminders, color coding, telephone calls, or devices such as letters and postcards.
The process of making a selective intellectual judgment when presented with several complex alternatives consisting of several variables, and usually defining a course of action or an idea.
The attitude and behavior associated with an individual using the computer.
The use of COMPUTER COMMUNICATION NETWORKS to store and transmit medical PRESCRIPTIONS.
The portion of an interactive computer program that issues messages to and receives commands from a user.
Collections of facts, assumptions, beliefs, and heuristics that are used in combination with databases to achieve desired results, such as a diagnosis, an interpretation, or a solution to a problem (From McGraw Hill Dictionary of Scientific and Technical Terms, 6th ed).
Systems that provide all or most of the items necessary for maintaining life and health. Provisions are made for the supplying of oxygen, food, water, temperature and pressure control, disposition of carbon dioxide and body waste. The milieu may be a spacecraft, a submarine, or the surface of the moon. In medical care, usually under hospital conditions, LIFE SUPPORT CARE is available. (From Webster's New Collegiate Dictionary)
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
Media that facilitate transportability of pertinent information concerning patient's illness across varied providers and geographic locations. Some versions include direct linkages to online consumer health information that is relevant to the health conditions and treatments related to a specific patient.
Laboratory and other services provided to patients at the bedside. These include diagnostic and laboratory testing using automated information entry.
The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
Specifications and instructions applied to the software.
Directions or principles presenting current or future rules of policy for assisting health care practitioners in patient care decisions regarding diagnosis, therapy, or related clinical circumstances. The guidelines may be developed by government agencies at any level, institutions, professional societies, governing boards, or by the convening of expert panels. The guidelines form a basis for the evaluation of all aspects of health care and delivery.
Overall systems, traditional or automated, to provide medication to patients in hospitals. Elements of the system are: handling the physician's order, transcription of the order by nurse and/or pharmacist, filling the medication order, transfer to the nursing unit, and administration to the patient.
Description of pattern of recurrent functions or procedures frequently found in organizational processes, such as notification, decision, and action.
A type of MICROCOMPUTER, sometimes called a personal digital assistant, that is very small and portable and fitting in a hand. They are convenient to use in clinical and other field situations for quick data management. They usually require docking with MICROCOMPUTERS for updates.
Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of ambulatory care services and facilities.
A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).
Errors in prescribing, dispensing, or administering medication with the result that the patient fails to receive the correct drug or the indicated proper drug dosage.
Integrated, computer-assisted systems designed to store, manipulate, and retrieve information concerned with the administrative and clinical aspects of providing medical services within the hospital.
Systems composed of a computer or computers, peripheral equipment, such as disks, printers, and terminals, and telecommunications capabilities.
Formularies concerned with pharmaceuticals prescribed in hospitals.
Specific languages used to prepare computer programs.
A technetium diagnostic aid used in renal function determination.
A republic consisting of an island group in Melanesia, in the southwest Pacific Ocean. Its capital is Port-Vila. It was called New Hebrides until 1980. It was discovered in 1606 by the Portuguese, forgotten for 160 years, then visited by Bougainville in 1768 and Captain Cook in 1774. It was under joint British and French administration from 1906 until it became independent in 1980 under the name of Vanuatu. The name is native, meaning our land. (From Webster's New Geographical Dictionary, 1988, p833 & Room, Brewer's Dictionary of Names, 1992, p570)
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.
Sequential operating programs and data which instruct the functioning of a digital computer.
The reduction or regulation of the population of noxious, destructive, or dangerous plants, insects, or other animals. This includes control of plants that serve as habitats or food sources for animal pests.
Conformity in fulfilling or following official, recognized, or institutional requirements, guidelines, recommendations, protocols, pathways, or other standards.
Devices for simulating the activities of the liver. They often consist of a hybrid between both biological and artificial materials.
Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of clinical pharmacy services.
Patterns of practice related to diagnosis and treatment as especially influenced by cost of the service requested and provided.
Overall systems, traditional or automated, to provide medication to patients.
Delivery of nursing services via remote telecommunications.
Individuals licensed to practice medicine.
Computerized compilations of information units (text, sound, graphics, and/or video) interconnected by logical nonlinear linkages that enable users to follow optimal paths through the material and also the systems used to create and display this information. (From Thesaurus of ERIC Descriptors, 1994)
Organized activities related to the storage, location, search, and retrieval of information.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Graphic tracing over a time period of radioactivity measured externally over the kidneys following intravenous injection of a radionuclide which is taken up and excreted by the kidneys.
The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine.
Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.
A specified list of terms with a fixed and unalterable meaning, and from which a selection is made when CATALOGING; ABSTRACTING AND INDEXING; or searching BOOKS; JOURNALS AS TOPIC; and other documents. The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may be altered or extended only by the publisher or issuing agency. (From Harrod's Librarians' Glossary, 7th ed, p163)
Integrated set of files, procedures, and equipment for the storage, manipulation, and retrieval of information.
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
The broad dissemination of new ideas, procedures, techniques, materials, and devices and the degree to which these are accepted and used.
Care which provides integrated, accessible health care services by clinicians who are accountable for addressing a large majority of personal health care needs, developing a sustained partnership with patients, and practicing in the context of family and community. (JAMA 1995;273(3):192)
Directions written for the obtaining and use of DRUGS.
Studies determining the effectiveness or value of processes, personnel, and equipment, or the material on conducting such studies. For drugs and devices, CLINICAL TRIALS AS TOPIC; DRUG EVALUATION; and DRUG EVALUATION, PRECLINICAL are available.
Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.
Professional medical personnel approved to provide care to patients in a hospital.
Attitudes of personnel toward their patients, other professionals, toward the medical care system, etc.
Organized collections of computer records, standardized in format and content, that are stored in any of a variety of computer-readable modes. They are the basic sets of data from which computer-readable files are created. (from ALA Glossary of Library and Information Science, 1983)
Personnel who provide nursing service to patients in a hospital.
An approach of practicing medicine with the goal to improve and evaluate patient care. It requires the judicious integration of best research evidence with the patient's values to make decisions about medical care. This method is to help physicians make proper diagnosis, devise best testing plan, choose best treatment and methods of disease prevention, as well as develop guidelines for large groups of patients with the same disease. (from JAMA 296 (9), 2006)
The leveraging of collective wisdom within an organization as a catalyst to increase responsiveness and innovation.
A medical specialty concerned with the diagnosis and treatment of diseases of the internal organ systems of adults.
Incorrect diagnoses after clinical examination or technical diagnostic procedures.
A broad approach to appropriate coordination of the entire disease treatment process that often involves shifting away from more expensive inpatient and acute care to areas such as preventive medicine, patient counseling and education, and outpatient care. This concept includes implications of appropriate versus inappropriate therapy on the overall cost and clinical outcome of a particular disease. (From Hosp Pharm 1995 Jul;30(7):596)
Hospitals maintained by a university for the teaching of medical students, postgraduate training programs, and clinical research.
Small-scale tests of methods and procedures to be used on a larger scale if the pilot study demonstrates that these methods and procedures can work.
Precise and detailed plans for the study of a medical or biomedical problem and/or plans for a regimen of therapy.
The terms, expressions, designations, or symbols used in a particular science, discipline, or specialized subject area.
The interaction of two or more persons or organizations directed toward a common goal which is mutually beneficial. An act or instance of working or acting together for a common purpose or benefit, i.e., joint action. (From Random House Dictionary Unabridged, 2d ed)
Systems that provide for the maintenance of life in an isolated living chamber through reutilization of the material available, in particular, by means of a cycle wherein exhaled carbon dioxide, urine, and other waste matter are converted chemically or by photosynthesis into oxygen, water, and food. (NASA Thesaurus, 1988)
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
The continuous measurement of physiological processes, blood pressure, heart rate, renal output, reflexes, respiration, etc., in a patient or experimental animal; includes pharmacologic monitoring, the measurement of administered drugs or their metabolites in the blood, tissues, or urine.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Care given to patients by nursing service personnel.
The capability to perform acceptably those duties directly related to patient care.
The qualitative or quantitative estimation of the likelihood of adverse effects that may result from exposure to specified health hazards or from the absence of beneficial influences. (Last, Dictionary of Epidemiology, 1988)
A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.
Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.
A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. Cost effectiveness compares alternative ways to achieve a specific set of results.
Studies to determine the advantages or disadvantages, practicability, or capability of accomplishing a projected plan, study, or project.
Hospital units providing continuous surveillance and care to acutely ill patients.
Programs of training in medicine and medical specialties offered by hospitals for graduates of medicine to meet the requirements established by accrediting authorities.
The process by which decisions are made in an institution or other organization.
Works about clinical trials that involve at least one test treatment and one control treatment, concurrent enrollment and follow-up of the test- and control-treated groups, and in which the treatments to be administered are selected by a random process, such as the use of a random-numbers table.
Infection of the lung often accompanied by inflammation.
Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.
Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.
A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.
The visual display of data in a man-machine system. An example is when data is called from the computer and transmitted to a CATHODE RAY TUBE DISPLAY or LIQUID CRYSTAL display.
A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed)
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
A theoretical technique utilizing a group of related constructs to describe or prescribe how individuals or groups of people choose a course of action when faced with several alternatives and a variable amount of knowledge about the determinants of the outcomes of those alternatives.
Apparatus that provides mechanical circulatory support during open-heart surgery, by passing the heart to facilitate surgery on the organ. The basic function of the machine is to oxygenate the body's venous supply of blood and then pump it back into the arterial system. The machine also provides intracardiac suction, filtration, and temperature control. Some of the more important components of these machines include pumps, oxygenators, temperature regulators, and filters. (UMDNS, 1999)
A system containing any combination of computers, computer terminals, printers, audio or visual display devices, or telephones interconnected by telecommunications equipment or cables: used to transmit or receive information. (Random House Unabridged Dictionary, 2d ed)
Patient involvement in the decision-making process in matters pertaining to health.
Substances that reduce the growth or reproduction of BACTERIA.
Data processing largely performed by automatic means.

A design model for computer-based guideline implementation based on information management services. (1/1168)

Clinical practice guidelines must be implemented effectively if they are to influence the behavior of clinicians. The authors describe a model for computer-based guideline implementation that identifies eight information management services needed to integrate guideline-based decision support with clinical workflow. Recommendation services determine appropriate activities in specific clinical circumstances. Documentation services involve data capture. Registration services integrate demographic and administrative data. Explanation services enhance the credibility of automated recommendations by providing supportive evidence and rating the quality of evidence. Calculation services measure time intervals, suggest medication dosages, and perform other computational tasks. Communication services employ standards for information transfer and provide data security. Effective presentation services facilitate understanding of complex data, clarify trends, and format written materials (including prescriptions) for patients. Aggregation services associate outcomes with specific guideline interventions. The authors provide examples of the eight services that make up the model from five evidence-based practice parameters developed by the American Academy of Pediatrics.  (+info)

Computer-based guideline implementation systems: a systematic review of functionality and effectiveness. (2/1168)

In this systematic review, the authors analyze the functionality provided by recent computer-based guideline implementation systems and characterize the effectiveness of the systems. Twenty-five studies published between 1992 and January 1998 were identified. Articles were included if the authors indicated an intent to implement guideline recommendations for clinicians and if the effectiveness of the system was evaluated. Provision of eight information management services and effects on guideline adherence, documentation, user satisfaction, and patient outcome were noted. All systems provided patient-specific recommendations. In 19, recommendations were available concurrently with care. Explanation services were described for nine systems. Nine systems allowed interactive documentation, and 17 produced paper-based output. Communication services were present most often in systems integrated with electronic medical records. Registration, calculation, and aggregation services were infrequently reported. There were 10 controlled trials (9 randomized) and 10 time-series correlational studies. Guideline adherence improved in 14 of 18 systems in which it was measured. Documentation improved in 4 of 4 studies.  (+info)

Gastrointestinal illness in managed care: healthcare utilization and costs. (3/1168)

Identification of inefficiencies is a first step to improving the quality of gastrointestinal (GI) care at the most reasonable cost. This analysis used administrative data to examine the healthcare utilization and associated costs of the management of GI illnesses in a 2.5 million-member private managed care plan containing many benefit designs. An overall incidence of 10% was found for GI conditions, with a preponderance in adults (patients older than 40 years) and women. The most frequently occurring conditions were abdominal pain, nonulcer peptic diseases, lower GI tract diseases, and other GI tract problems. These conditions, along with gallbladder/biliary tract disease, were also the most costly. Claims submitted for care during GI episodes averaged $17 per member per month. Increasing severity of condition was associated with substantial increases in utilization and costs (except for medication use). For most GI conditions, approximately 40% of charges were for professional services (procedures, tests, and visits) and 40% of charges were for facility admissions. The prescription utilization analysis indicated areas where utilization patterns may not match accepted guidelines, such as the low use of anti-Helicobacter pylori therapy, the possible concomitant use of nonsteroidal anti-inflammatory drugs in patients with upper GI diseases, and the use of narcotics in treating patients with lower GI disease and abdominal pain. Also, there was no clear relationship between medication utilization and disease severity. Thus, this analysis indicated that GI disease is a significant economic burden to managed care, and identified usage patterns that potentially could be modified to improve quality of care.  (+info)

A cost-effectiveness clinical decision analysis model for schizophrenia. (4/1168)

A model was developed to estimate the medical costs and effectiveness outcomes of three antipsychotic treatments (olanzapine, haloperidol, and risperidone) for patients with schizophrenia. A decision analytic Markov model was used to determine the cost-effectiveness of treatments and outcomes that patients treated for schizophrenia may experience over a 5-year period. Model parameter estimates were based on clinical trial data, published medical literature, and, when needed, clinician judgment. Direct medical costs were incorporated into the model, and outcomes were expressed by using three effectiveness indicators: the Brief Psychiatric Rating Scale, quality-adjusted life years, and lack of relapse. Over a 5-year period, patients on olanzapine had an additional 6.8 months in a disability-free health state based on Brief Psychiatric Rating Scale scores and more than 2 additional months in a disability-free health state based on quality-adjusted life years, and they experienced 13% fewer relapses compared with patients on haloperidol. The estimated 5-year medical cost associated with olanzapine therapy was $1,539 less than that for haloperidol therapy. Compared with risperidone therapy, olanzapine therapy cost $1,875 less over a 5-year period. Patients on olanzapine had approximately 1.6 weeks more time in a disability-free health state (based on Brief Psychiatric Rating Scale scores) and 2% fewer relapses compared with patients on risperidone. Sensitivity analyses indicated the model was sensitive to changes in drug costs and shortened hospital stay. Compared with both haloperidol and risperidone therapy, olanzapine therapy was less expensive and provided superior effectiveness outcomes even with conservative values for key parameters such as relapse and discontinuation rates.  (+info)

A population-based approach to diabetes management in a primary care setting: early results and lessons learned. (5/1168)

OBJECTIVE: To determine the effect of a multifaceted program of support on the ability of primary care teams to deliver population-based diabetes care. DESIGN: Ongoing evaluation of a population-based intervention. SETTING/PARTICIPANTS: Group Health Cooperative of Puget Sound, a staff model HMO in which more than 200 primary care providers treat approximately 15,000 diabetic patients. INTERVENTION: A program of support to improve the ability of primary care teams to deliver population-based diabetes care was implemented. The elements of the program are based on an integrated model of well-validated components of delivery of effective care to chronically ill populations. These elements have been introduced since the beginning of 1995, and some aspects of the program were pilot-tested in a few practice sites before being implemented throughout the organization. The program elements include 1) a continually updated on-line registry of diabetic patients; 2) evidence-based guidelines on retinal screening, foot care, screening for microalbuminuria, and glycemic management; 3) improved support for patient self-management; 4) practice redesign to encourage group visits for diabetic patients in the primary care setting; and 5) decentralized expertise through a diabetes expert care team (a diabetologist and a nurse certified diabetes educator) seeing patients jointly with primary care teams. MAIN OUTCOME MEASURES: Patient and provider satisfaction through existing system-wide measurement processes; process measures, health outcomes, and costs are tracked continuously. RESULTS: Patient and provider satisfaction have improved steadily. Interest in and use of the electronic Diabetes Registry have grown considerably. Rates of retinal eye screening, documented foot examinations, and testing for microalbuminuria and hemoglobin A1c have increased substantially. CONCLUSIONS: Providing support to primary care teams in several key areas has made a population-based approach to diabetes care a practical reality in the setting of a staff model HMO. It may be an important mechanism for improving standards of care for many diabetic patients.  (+info)

The impact of computerized physician order entry on medication error prevention. (6/1168)

BACKGROUND: Medication errors are common, and while most such errors have little potential for harm they cause substantial extra work in hospitals. A small proportion do have the potential to cause injury, and some cause preventable adverse drug events. OBJECTIVE: To evaluate the impact of computerized physician order entry (POE) with decision support in reducing the number of medication errors. DESIGN: Prospective time series analysis, with four periods. SETTING AND PARTICIPANTS: All patients admitted to three medical units were studied for seven to ten-week periods in four different years. The baseline period was before implementation of POE, and the remaining three were after. Sophistication of POE increased with each successive period. INTERVENTION: Physician order entry with decision support features such as drug allergy and drug-drug interaction warnings. MAIN OUTCOME MEASURE: Medication errors, excluding missed dose errors. RESULTS: During the study, the non-missed-dose medication error rate fell 81 percent, from 142 per 1,000 patient-days in the baseline period to 26.6 per 1,000 patient-days in the final period (P < 0.0001). Non-intercepted serious medication errors (those with the potential to cause injury) fell 86 percent from baseline to period 3, the final period (P = 0.0003). Large differences were seen for all main types of medication errors: dose errors, frequency errors, route errors, substitution errors, and allergies. For example, in the baseline period there were ten allergy errors, but only two in the following three periods combined (P < 0.0001). CONCLUSIONS: Computerized POE substantially decreased the rate of non-missed-dose medication errors. A major reduction in errors was achieved with the initial version of the system, and further reductions were found with addition of decision support features.  (+info)

Effects of a decision support system on physicians' diagnostic performance. (7/1168)

PURPOSE: This study examines how the information provided by a diagnostic decision support system for clinical cases of varying diagnostic difficulty affects physicians' diagnostic performance. METHODS: A national sample of 67 internists, 35 family physicians, and 6 other physicians used the Quick Medical Reference (QMR) diagnostic decision support system to assist them in the diagnosis of written clinical cases. Three sets of eight cases, stratified by diagnostic difficulty and the potential of QMR to produce high-quality information, were used. The effects of using QMR on three measures of physicians' diagnostic performance were analyzed using analyses of variance. RESULTS: Physicians' diagnostic performance was significantly higher (p < 0.01) on the easier cases and the cases for which QMR could provide higher-quality information. CONCLUSIONS: Physicians' diagnostic performance can be strongly influenced by the quality of information the system produces and the type of cases on which the system is used.  (+info)

Influence of case and physician characteristics on perceptions of decision support systems. (8/1168)

OBJECTIVE: This study examines how characteristics of clinical cases and physician users relate to the users' perceptions of the usefulness of the Quick Medical Reference (QMR) and their confidence in their diagnoses when supported by the decision support system. METHODS: A national sample (N = 108) of 67 internists, 35 family physicians, and 6 other U.S. physicians used QMR to assist in the diagnosis of written clinical cases. Three sets of eight cases stratified by diagnostic difficulty and the potential of QMR to produce high-quality information were used. A 2 x 2 repeated-measures analysis of variance was used to test whether these factors were associated with perceived usefulness of QMR and physicians' diagnostic confidence after using QMR. Correlations were computed among physician characteristics, ratings of QMR usefulness, and physicians' confidence in their own diagnoses, and between usefulness or confidence and actual diagnostic performance. RESULTS: The analyses showed that QMR was perceived to be significantly more useful (P < 0.05) on difficult cases, on cases where QMR could provide high-quality information, by non-board-certified physicians, and when diagnostic confidence was lower. Diagnostic confidence was higher when comfort with using certain QMR functions was higher. The ratings of usefulness or diagnostic confidence were not consistently correlated with diagnostic performance. CONCLUSIONS: The results suggest that users' diagnostic confidence and perceptions of QMR usefulness may be associated more with their need for decision support than with their actual diagnostic performance when using the system. Evaluators may fail to find a diagnostic decision support system useful if only easy cases are tested, if correct diagnoses are not in the system's knowledge base, or when only highly trained physicians use the system.  (+info)

Clinical Decision Support Systems . Mohammed Saleem . Overview. Scope of Clinical Decision Support Systems Issues for success or failure Evaluation of Clinical Decision Support Systems Computing techniques used to create DSS Design Cycle for the development of DSS Slideshow 387683 by nam
Clinical Decision Support System Market Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017-2025. Clinical Decision Support System Market : OverviewThis report on the clinical decision support system market analyzes the current and future scenario of the global market. Large number of chronic disease patients is increasing the
PhD ceremony: Mr. A.E. de Vries, 12.45 uur, Academiegebouw, Broerstraat 5, Groningen. Dissertation: The use of computer decision support systems and telemonitoring in heart failure Promotor(s): prof. H.L. Hillege, prof. T. Jaarsma, prof. R.J.J.M. Jorna. Faculty: Medical Sciences. This thesis focuses on two examples of innovative ICT developments in health care that can be used for patients with heart failure: telemonitoring (TM) and computer decision support systems (CDSS). This thesis shows that innovative information and communication technologies such as telemonitoring and computer decision support systems are promising tools that may help to support and improve care for heart failure patients. However, TM and CDSS are not one size fits all solutions and TM does not automatically reduce readmissions, mortality and improve the quality of life. ...
ACU and the Alliance of Chicago have partnered to create an electronic Asthma Clinical Decision Support tool intended to improve asthma care in primary care settings. The tool is is based on the National Heart Lung and Blood Institutes evidence-based asthma clinical guidelines.. Embedded in the electronic health record, the Asthma Clinical Decision Support tool prompts clinicians to educate and engage patients and their families about environmental asthma triggers. It also provides data for quality monitoring and supports population-level quality improvement efforts.. ...
One of the most important ways to achieve optimum warfarin control is the use of anticoagulation, electronic clinical decision support tools that incorporates a validated warfarin dosing nomogram. Managing patients on NOACs is also a critical component of anticoagulation electronic decision support.
The use of a clinical decision support tool significantly improved documented adherence to a national imaging quality measure, according to a study published in the March issue of Academic Radiology.
Clinical decision support with Philips can help you recognize subtle changes and enable you to take action early. Explore our clinical decision support systems.
Contributors AW was responsible for design and implementation of the presented clinical decision-support system and the outline of the study protocol, and has drafted the manuscript. TJ provided clinical expertise for the use case and the design of the underlying knowledge model, leaded the proof-of-concept study and co-drafted the manuscript. AK was primarily responsible for the design of the statistical analysis, the sample size calculation and the authoring of the corresponding sections. BS and SM helped in the conception of the general study approach but especially for definition of goals and outcome measures, timing and patient recruitment; SM is responsible for patient recruitment and monitors the study at the ward. PB and MM provided clinical expertise for study design, revised the manuscript critically, and gave subject-specific advices as well as the final approval of the manuscript version to be published. All authors read and approved the final manuscript. ...
Clinical decision support systems can be defined as any software designed to directly aid in clinical decision making in which characteristics of individual patients are matched to a computerized knowledge base for the purpose of generating patient-specific assessments or recommendations that are then presented to clinicians for consideration [1, 2]. They are important in the practice of medicine because they can improve practitioner performance [1, 3-5], clinical management [6, 7], drug dosing and medication error rates [8-10], and preventive care [1, 11-16].. Machine learning (ML) gives computers the ability to learn from, and make predictions on the data without being explicitly programmed regarding the characteristics of that data [17]. It should not be surprising, then, that ML pervades clinical decision support, for two reasons. First, clinical decision support systems are structured such that patients are represented as features which can be used to map them to categories [18]. Second, ...
Application of the best research evidence in clinical practice can improve the quality and safety of health care. Successfully translating evidence into practice requires that clinicians are aware of the evidence, agree with it, are confident about delivering the intervention and adhere to it in appropriate situations [1]. Furthermore, patients should agree and adhere to the treatment [1]. When there is more than one reasonable healthcare option, decision-making involves weighing the benefits and harms of the options, often with scientific uncertainty, and the preferences of the patients. Unfortunately, there is often a gap between the recommended care and the care that patients receive, and patient adherence to appropriate care can be poor [1]. Furthermore, some healthcare interventions may not be needed or may even be harmful. Finally, expenses can decrease if care options are chosen according to their comparative cost-effectiveness [2].. A computerised clinical decision support system (CCDSS) ...
Commenting on the release of the new report, Mr Abdul Wahid, Lead Analyst, BIS Research, said, The clinical decision support systems market is, to a large extent, going to be driven by the urgent need to reduce healthcare costs and the rising number of deaths due to preventable medical errors. While the sector is still at a nascent stage in India, most large hospitals in Tier I cities already have modular information systems, while some have fully integrated systems. In the future, we expect the full integration of systems, more shareable information platforms, and the standardization that could lead to user-friendliness and greater usability. We also believe that in the near future, these systems will use tablets and other mobile devices to enhance the uptake of advanced tools like telemedicine and virtual meeting systems for knowledge sharing ...
Free Online Library: Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications.(Research Article, Report) by International Journal of Telemedicine and Applications; Health, general Technology application Practice guidelines (Medicine)
Press release - The Insight Partners - Clinical Decision Support System Market Business Opportunities, Technological Advancement and Future Analysis 2025 - Medical Information Technology, Koninklijke Philips, Wolters Kluwer, Hearst Communications, Elsevier, Allscripts Healthcare Solutions - published on openPR.com
On the one hand, the extreme heterogeneity indicates non-random variation in effect sizes, such that a minority of interventions might have achieved significantly larger effects than the 95% confidence intervals around the meta-analytic average. Indeed, 25% of studies reported absolute improvements greater than 10%, with one as high as 62%.67 Yet, even with the identification of two significant predictors of larger effects-namely, paediatric studies and those with low baseline adherence-the meta-regression model still showed extreme heterogeneity. Thus even when these characteristics were taken into account, a wide, non-random variation remained in the improvements seen with clinical decision support systems. The reason for this remains largely unknown.. Other systematic reviews have similarly reported extreme heterogeneity, with I2 as high as 97% in one instance.18 Moja and colleagues reported more moderate heterogeneity (I2=41-64%),21 but their review focused specifically on measures of ...
The budding European market for clinical decision support systems could be propelled into growth with the development of more robust technologies, according to a new report from Frost & Sullivan, which says this is being driven by concerns over patient safety. In fact, it estimates that 2005s revenue of $239 million could almost double by 2012 to reach $431 million. - News - PharmaTimes
Clinical Decision Support System To Prevent Toxicity In Patients Treated With Digoxin: 10.4018/978-1-61520-977-4.ch001: In this chapter, authors develop a system for prevention and detection of congestive heart failure and fibrillation. Due to its narrow therapeutic range more
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Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a
Lung cancer is a major cause for cancer-related deaths. The detection of pulmonary cancer in the early stages can highly increase survival rate. Manual delineation of lung nodules by radiologists is a tedious task. We developed a novel computer-aided decision support system for lung nodule detection based on a 3D Deep Convolutional Neural Network (3DDCNN) for assisting the radiologists. Our decision support system provides a second opinion to the radiologists in lung cancer diagnostic decision making. In order to leverage 3-dimensional information from Computed Tomography (CT) scans, we applied median intensity projection and multi-Region Proposal Network (mRPN) for automatic selection of potential region-of-interests. Our Computer Aided Diagnosis (CAD) system has been trained and validated using LUNA16, ANODE09, and LIDC-IDR datasets; the experiments demonstrate the superior performance of our system, attaining sensitivity, specificity, AUROC, accuracy, of 98.4, 92, 96 and 98.51 with 2.1 FPs ...
Breast cancer is the most common female cancer. In the United States, the second most common cause of cancer death in women, and the main cause of death in women ages 45 to 55 years old. The U.S. Preventive Services Task Force recommends screening mammography, with or without clinical breast examination, every one to two years among women aged 50 to 69 years old.. Recent research has shown that health care delivered in industrialized nations often falls short of optimal, evidence based care. US adults receive only about half of recommended care. To address these deficiencies in care, health-care organizations are increasingly turning to clinical decision support systems. A clinical decision-support system is any computer program designed to help health-care professionals to make clinical decisions. In a sense, any computer system that deals with clinical data or knowledge is intended to provide decision support.. Examples include manual or computer based systems that attach care reminders to the ...
INTRODUCTION: Handheld computers (PDAs) uploaded with clinical decision support software (CDSS) have the potential to facilitate the adoption of evidence-based medicine (EBM) at the point-of-care among undergraduate medical students. Further evaluation of the usefulness and acceptability of these tools is required. METHODS: All 169 Year 4 undergraduate medical students at the University of Hong Kong completed a post-randomised controlled trial survey. Primary outcome measures were CDSS/PDA usefulness, satisfaction, functionality and utilisation. Focus groups were also conducted to derive complementary qualitative data on the students attitudes towards using such new technology. RESULTS: Overall, the students found the CDSS/PDA useful (mean score = 3.90 out of 6, 95% confidence interval (CI) = 3.78, 4.03). They were less satisfied with the functional features of the CDSS (mean score = 3.45, 95% CI = 3.32, 3.59) and the PDA (mean score = 3.51 95% CI = 3.40, 3.62). Utilisation was low, with the ...
Managing patients on oral anticoagulation treatment is time consuming for the primary care provider. The frequent blood testing is disruptive to patients daily lives. Despite considerable time and effort, studies confirm that patients are often outside their prescribed INR range.1, 2 Because of the difficulties of the treatment, many patients who need anticoagulation are not treated.. The search for better methods for managing anticoagulation includes the use of computer decision support by physicians, nurses, or patients to reduce time and costs. The use of such software provides an algorithm, reduces disparities among providers in decision making, and increases adherence with care standards.3 The potential also exists for enhancing pattern recognition in individual patients, which could assist in the detection of interfering drugs or foods.. The study by Fitzmaurice et al is 1 of several that have attempted to verify reduced costs and increased effectiveness of oral anticoagulation treatment ...
TY - GEN. T1 - Improving the performance of clinical decision support for early detection of sepsis. T2 - a retrospective observational cohort study. AU - Li, Ling. AU - Rathnayake, Kasun. AU - Green, Malcolm. AU - Fullick, Mary. AU - Shetty, Amith. AU - Walter, Scott. AU - Braithwaite, Jeffrey. AU - Lander, Harvey. AU - Westbrook, Johanna I.. N1 - Copyright International Medical Informatics Association (IMIA) and IOS Press 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.. PY - 2019/8/21. Y1 - 2019/8/21. N2 - Sepsis remains a significant global health problem. It is a life-threatening, but poorly defined and recognized condition. Early recognition and intervention are essential to optimize patient outcomes. Automated clinical decision support systems (CDS) may be particularly beneficial for early detection of sepsis. The aim of this study was to use retrospective ...
Our study contributes new findings to the understanding of how a CDSS is used in the initial management of a common symptom. Despite use of the OMA CDSS in 86 % of consultations for which it was available, there was little evidence of impact on medication prescribing or on investigation choice. Through qualitative data analysis we gained an in-depth understanding of the reasons for this discrepancy. We identified problems in entering patient data into the CDSS. These included difficulties in classification of symptoms and risk factors, and in the incorporation of all available clinical information emerging during the consultation. In the majority of observed cases, the CDSS was used after the patient had left the room. Structural and practical barriers to the use of the CDSS included the availability of investigations and the prescribing competencies of the clinicians. Analysis of observational data revealed how clinicians privileged their clinical expertise over CDSS advice, responding to CDSS ...
An increase in naturally-occurring porphyrins has been described in the blood of subjects bearing different kinds of tumors, including colorectal, and this is probably related to a systemic alteration of heme metabolism induced by tumor cells. The aim of our study was to develop an artificial neural network (ANN) classifier for early detection of colorectal adenocarcinoma based on plasma porphyrin accumulation and risk factors. We measured the endogenous fluorescence of blood plasma in 100 colorectal adenocarcinoma patients and 112 controls using a conventional spectrofluorometer. Height, weight, personal and family medical history, use of alcohol, red meat, vegetables and tobacco were all recorded. An ANN model was built up from demographic data and from the integral of the fluorescence emission peak in the range 610-650 nm. We used the Receiver Operating Characteristic (ROC) curve to assess performance in distinguishing colorectal adenocarcinoma patients and controls. A liquid chromatography-high
Design: Cluster randomized controlled trial. Allocation: Unclear allocation concealment.* Blinding: Unblinded.* Follow-up period: 21 months. Setting: Rural communities in Utah and Idaho, United States. Participants: 67 910 persons (50% women, 70% adults) from 12 rural communities. 6 nonrandomized communities (n = 19 310) served as a reference group. Intervention: A CDSS plus a community intervention (6 communities, n = 32 490) or a community intervention alone (6 communities, n = 35 420). The CDSS intervention included 3 parallel decision support tools (2 paper-based versions including flow charts or self-completed medical histories and 1 personal digital assistant version), each providing the diagnostic and therapeutic guidelines on several acute RTIs (e.g., sinusitis, pharyngitis, and otitis media). The CDSS was introduced to primary care clinicians by educational lectures, small group meetings, and 1-on-1 interactions between primary care clinicians and physician members of the study team. ...
Ideally, there would be a seamless link between the clinical decision support system and the patients electronic health record, so that suggestions regarding the patients diagnosis and treatment would be made in real time as data is entered into the chart. This system would be automatically updated with the latest best evidence as it became available. Obviously, these systems are not in general use, but the soundness of this approach has been shown, particularly in the area of prescribing multiple medications for hospitalized or geriatric patients. To date, the applications with the most immediate usefulness have been those that promote guideline adherence and alert providers to drug interactions or treatment omissions. Examples include computer provider order entry systems combined with clinical decision support systems, which have been shown to improve patient safety through reducing the incidence of adverse drug interactions. The third step of the classical EBHC process is critical ...
Guidelines exist for chronic kidney disease (CKD) but are not well implemented in clinical practice. We evaluated the impact of a guideline-based clinical decision support system (CDSS) on laboratory monitoring and achievement of laboratory targets in stage 3-4 CKD patients. We performed a matched cohort study of 12,353 stage 3-4 CKD patients whose physicians opted to receive an automated guideline-based CDSS with CKD-related lab results, and 42,996 matched controls whose physicians did not receive the CDSS. Physicians were from US community-based physician practices utilizing a large, commercial laboratory (LabCorp®). We compared the percentage of laboratory tests obtained within guideline-recommended intervals and the percentage of results within guideline target ranges between CDSS and non-CDSS patients. Laboratory tests analyzed included estimated glomerular filtration rate, plasma parathyroid hormone, serum calcium, phosphorus, 25-hydroxy vitamin D (25-D), total carbon dioxide, transferrin
Acknowledgment: The authors thank the patients and staff of the Massachusetts General Hospital HIV Clinic.. Grant Support: By the National Institute of Allergy and Infectious Diseases (K01AI062435, K24AI062476, P30AI42851, K24DK080140, and R37AI42006) and the Massachusetts General Hospital Clinical Research Program.. Potential Conflicts of Interest: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M12-0054.. Reproducible Research Statement: Study protocol, statistical code, and data set: Available from Dr. Robbins (e-mail, [email protected]).. Requests for Single Reprints: Gregory K. Robbins, MD, MPH, Massachusetts General Hospital, Division of Infectious Diseases, 55 Fruit Street, Cox 5, Boston, MA 02114; e-mail, [email protected] Current Author Addresses: Dr. Robbins: Massachusetts General Hospital, Division of Infectious Diseases, 55 Fruit Street, Cox 5, Boston, MA 02114.. Drs. Lester and Chueh, Mr. Estey, and Mr. Surrao: Massachusetts ...
AHRQs new Community-Acquired Pneumonia Clinical Decision Support Implementation Toolkit helps clinicians in emergency departments, primary care and other ambulatory settings implement and adopt a clinical decision support (CDS) alert for identifying and managing patients with community-acquired pneumonia.
Infectious diseases are a threat to human health around the world. In recent years, there have been a growing number of outbreaks of rare infectious diseases. These include outbreaks of Ebola, Zika and influenza.1 2 These infections pose special challenges to learners and educators alike in medical education. Under normal conditions they are rare and so it is difficult to dedicate too much time or resources to them in undergraduate or postgraduate curricula. However, the situation can quickly change to that of an epidemic. In these circumstances, doctors and other healthcare professionals need instant education and support. It is in these circumstances that online clinical decision support could play a major role in controlling outbreaks of infectious diseases.. Online clinical decision support provided must be aligned to the needs of the healthcare professional learners.3 In this regard, it is clear that, under normal circumstances, healthcare professionals need certain features in clinical ...
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The Medical Decision Support Systems for Sepsis market report offers a detailed explanation of different Leading level industries that are functioning in global regions. The Medical Decision Support Systems for Sepsis market was developed with a primary focus on the competitive sphere, retail, geographical expansion, and market dynamics, including drivers, constraints, and opportunities. In this report, various chapters deliver a logical understanding of the market scenarios with relevant examples. This report also analyzes the global market competition landscape, market drivers and trends, opportunities and challenges, sales channels, distributors, and Porters Five Forces Analysis.. To Know More Details About This Report, Get Sample @ http://www.acquiremarketresearch.com/sample-request/386911. The objective of this examine is to determine market sizes for various sectors and countries in recent years and predict values for the next eight years. The report is created to integrate the ...
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1. Rheingold: Interactive Interactions. Who among us has not had a client or a friend that was currently on a bouillabaisse of 3-4 pharmaceuticals and perhaps 5-6 (or more) dietary supplements? Ever wonder what exactly was going in there? Perhaps a nifty little app I recently coded might be just what the doctor orders.. Rheingold can help identify possible drug/nutrient/food interactions by virtue of its ability to crawl a dataset of their known effects on cytochrome function. It then displays the results in network fashion.. Originally built for my genomic tool Opus23, where the cytochrome status of the particular loaded client is also figured into the outcomes. This open-source version still affords the attentive clinician the opportunity to provide some degree of due diligence, either when attempting to sort out a confusing plethora of ingested agents on initial presentation, or to help tailor a de novo intervention with the full confidence that ones protocol is not inherently ...
[65 Pages Report] Medical Decision Support Systems for Sepsis Market Revolutionary Primer for Clinical Decision Support (Market Dynamics, Case Studies, Regional Analysis (North America, Europe, Asia Pacific, Rest of the World))
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Other articles where Decision-support system is discussed: information system: Decision support systems and business intelligence: …decision making, however indirectly, but decision support systems are expressly designed for this purpose. As these systems are increasingly being developed to analyze massive collections of data (known as big data), they are becoming known as business intelligence, or business analytics, applications. The two principal varieties of decision support systems…
Objective: To determine the extent to which computerised decision support can improve concordance of multidisciplinary teams with therapeutic decisions recommended by guidelines.. Design: Multicentre cluster randomised trial.. Participants: Multidisciplinary cardiac rehabilitation teams in Dutch centres and their cardiac rehabilitation patients.. Interventions: Teams received an electronic patient record system with or without additional guideline based decision support.. Main outcome measures: Concordance with guideline recommendations assessed for two standard rehabilitation treatments-exercise and education therapy-and for two new but evidence based rehabilitation treatments-relaxation and lifestyle change therapy; generalised estimating equations were used to account for intra-cluster correlation and were adjusted for patients age, sex, and indication for cardiac rehabilitation and for type and volume of centre.. Results: Data from 21 centres, including 2787 patients, were analysed. ...
TY - JOUR. T1 - Inform. T2 - Integrated decision support in intensive care. AU - Hunter, James. AU - Chambrin, Marie-Christine. AU - Collinson, Paul. AU - Hedlund, Anders. AU - Groth, Torgny. AU - Kalli, Seppo. AU - Kari, Aarno. AU - Lenoudias, George. AU - Ravaux, Pierre. AU - Ross, Donnie. PY - 1990. Y1 - 1990. N2 - Many medical decision support systems that have been developed in the past have failed to enter routine clinical practice. Often this is because the developers have failed to analyse in sufficient detail the precise user requirements, because they have produced a system which takes too narrow a view of the patient, or because the decision support facilities have not been sufficiently well integrated into the routine clinical data handling activities. In this paper we discuss how the AIM-INFORM project is setting out to deal with these issues, in the context of the provision of decision support in the intensive care unit.. AB - Many medical decision support systems that have been ...
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies. ...
The ontology-based intelligent system provides accurate annotations of ultrasound images and suggests that it may benefit non-expert operators. The precision rate is appropriate for accurate input of a computer-based clinical decision support and could be used to support medical imaging diagnosis of …
Electronic Health Records (EHR) and Clinical Decision Support - Etiology, pathophysiology, symptoms, signs, diagnosis & prognosis from the Merck Manuals - Medical Professional Version.
Electronic Health Records (EHR) and Clinical Decision Support - Etiology, pathophysiology, symptoms, signs, diagnosis & prognosis from the MSD Manuals - Medical Professional Version.
Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (CDS) offers a potential solution to overcome such barriers and to facilitate the effective use of WGS information in the clinic. However, genomic information is complex and will require significant considerations when developing CDS capabilities. As such, this manuscript lays out a conceptual framework for a CDS architecture designed to deliver WGS-guided CDS within the clinical workflow. To handle the complexity and breadth of WGS information, the proposed CDS framework leverages service-oriented capabilities and orchestrates the interaction of several independently-managed components. These independently-managed components include the genome variant knowledge base, the genome database, the CDS knowledge base
The use of this decision support system in patients presenting to emergency with asthma was associated with improvements in clinical documentation and discharge management plans. Electronic decision support systems developed collaboratively with clinicians should play an important part of system-wid …
How can this pyramid guide the professionals who must take a decision so that they can find the evidence needed in a fast and safe way?. Normally, secondary sources are better than primary; therefore, the literature that appears in higher steps is considered scientifically better than that of lower levels. The search for evidence must start at the highest possible level of the pyramid.. At the vertex are the support systems for clinical decisions, computerised decision support systems, which are computerised information systems used to integrate clinical and patient information with the aim to take decisions regarding their care.32 They summarise all the relevant and important evidence on a clinical problem and generate specific recommendations for a given patient after having introduced the details in the program. This system is for example being used in the United Kingdom to manage oral anticoagulation.33. In radiodiagnosis there is not at present a clinical decision support system, although ...
Different approaches for Health Care Clinical Decision Support Systems- a Survey - written by Sarath S., Milana S Rao published on 2018/07/30 download full article with reference data and citations
Background: Low back pain (LBP) is an increasingly burdensome condition for patients and health professionals alike, with consistent demonstration of increasing persistent pain and disability. Previous decision support tools for LBP management have focused on a subset of factors owing to time constraints and ease of use for the clinician. With the explosion of interest in machine learning tools and the commitment from Western governments to introduce this technology, there are opportunities to develop intelligent decision support tools. We will do this for LBP using a Bayesian network, which will entail constructing a clinical reasoning model elicited from experts. Objective: This paper proposes a method for conducting a modified RAND appropriateness procedure to elicit the knowledge required to construct a Bayesian network from a group of domain experts in LBP, and reports the lessons learned from the internal pilot of the procedure. Methods: We propose to recruit expert clinicians with a special
Clinical decision support system[edit]. Clinical decision support systems are interactive computer programs designed to assist ... Decision support systems. 26 July 2005. 17 Feb. 2009 ,http://www.openclinical.org/dss.html, ... Thompson, C. & Dowding, C. (2009) Essential Decision Making and Clinical Judgement for Nurses. ... a b c Making a diagnosis, John P. Langlois, Chapter 10 in Fundamentals of clinical practice (2002). Mark B. Mengel, Warren Lee ...
DynaMed UpToDate Clinical decision support system Banzi, R; Liberati, A; Moschetti, I; Tagliabue, L; Moja, L (7 July 2010). "A ...
Moon, Jane D. (2016). Improving Health Management through Clinical Decision Support Systems. Australia: IGI Global. p. 167. ... We believe in making decisions based on evidence. In our quest for bottom-line impact, every business action must be supported ... Every decision we take is based on fact, and our execution must be accomplished with the same precision We believe in following ... It is underpinned by eight principles that form the basis for decision-making in a laboratory. While its application is mainly ...
Goddard K, Roudsari A, Wyatt JC (2011). "Automation Bias - A Hidden Issue for Clinical Decision Support System Use". ... Hsee CK, Hastie R (January 2006). "Decision and experience: why don't we choose what makes us happy?" (PDF). Trends in ... Plous S (1993). The Psychology of Judgment and Decision Making. New York: McGraw-Hill. ISBN 978-0-07-050477-6. Pohl RF (2017). ... ISBN 978-0-691-12302-8. Virine L, Trumper M (2007). Project Decisions: The Art and Science. Vienna, VA: Management Concepts. ...
Random Forests have thus been used for clinical decision support systems.[citation needed] Public health, including ... Significance level and decision rule: A decision rule depends on the level of significance, or in other words, the acceptable ... Random forest techniques generate a panel of decision trees. Decision trees have the advantage that you can draw them and ... In clinical studies, the samples are usually smaller than in other biological studies, and in most cases, the environment ...
Clinical decision support systems (CDSS) are designed to aid clinical decision-making. They have the potential to effect a ... Goddard, K; Roudsari, A; Wyatt, J. C. (2011). "Automation bias - a hidden issue for clinical decision support system use". ... "Automation Bias in Intelligent Time Critical Decision Support Systems" (PDF). AIAA 1st Intelligent Systems Technical Conference ... Automation bias can be a crucial factor in the use of intelligent decision support systems for military command-and-control ...
Virtual Medical Record: HL7's proposed model for interfacing with clinical decision support systems. SMART (Substitutable ... Overall, those with EMRs, that have automated notes and records, order entry, and clinical decision support had fewer ... and clinical decision support. Digital formatting enables information to be used and shared over secure networks Track care (e. ... The European Commission is supporting moves to facilitate cross-border interoperability of e-health systems and to remove ...
Computerized history-taking could be an integral part of clinical decision support systems. A follow-up procedure is initiated ... The review of systems often includes all the main systems in the body that may provide an opportunity to mention symptoms or ... Whatever system a specific condition may seem restricted to, all the other systems are usually reviewed in a comprehensive ... Health care professionals may structure the review of systems as follows: Cardiovascular system (chest pain, dyspnea, ankle ...
"What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data ... Studies in Systems, Decision and Control, Cham: Springer International Publishing, pp. 89-96, doi:10.1007/978-3-030-56433-9_11 ... The UK supported the application and development of AI in business via the Digital Economy Strategy 2015-2018, introduced at ... Regulation of the issues of ethical and legal support for the development of AI is nascent, but policy ensures state control of ...
Numerous clinical scoring systems (decision tools) have also been developed to support clinical decisions. Scoring systems that ... A clinical scoring system is often used along with a rapid test. The scoring systems use observed signs and symptoms in order ... Some clinical guidelines suggest that the cause of a sore throat is confirmed prior to prescribing antibiotic therapy and only ... "Clinical Practice Guidelines : Sore throat". www.rch.org.au. Retrieved 2020-09-18. Thomas M, Del Mar C, Glasziou P (October ...
... is a Clinical decision support system (CDSS) available through the World Wide Web that assists clinicians by generating ... Analysis of accuracy has shown promise in DXplain and similar clinical decision support systems. In a preliminary trial ... Despite its usage in clinician training, similar to other clinical decision support systems, DXplain has not expanded beyond ... Detection and diagnostic decision support systems for bioterrorism response. Emerg Infect Dis. 2004 Jan. Coiera E. Guide to ...
"Towards an automated multimodal clinical decision support system at the post anesthesia care unit". Computers in Biology and ... Once they enter the circulatory system, the agents are transported to their biochemical sites of action in the central and ... Wagner K, Swanson E, Raymond CJ, Smith CE (June 2008). "Comparison of two convective warming systems during major abdominal and ... Emergence is the return to baseline physiologic function of all organ systems after the cessation of general anaesthetics. This ...
The Bioinformatics team focus on the clinical results to design a computer-based decision support systems. The team is ...
Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review ... Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and ... Systematic reviews: synthesis of best evidence for clinical decisions. Ann Intern Med 1997;126:376-80. ... 3nd edition (2005) Clinical Epidemiology: How to do clinical practice research. (2005) Evidence-Based Medicine: how to practice ...
A clinical directory of services can be used in conjunction with a clinical decision support system. In the English National ... Health Service a directory has been compiled by every clinical commissioning group. NHS trusts, local authorities, voluntary ...
Clinical decision support systems are interactive computer programs designed to assist health professionals with decision- ... Decision support systems. 26 July 2005. 17 Feb. 2009 "workup". The Free Dictionary. Bilton, Nick (June 23, 2013). "Disruptions ... Thompson, C. & Dowding, C. (2009) Essential Decision Making and Clinical Judgement for Nurses. Langlois, John P. (2002). " ... Typically the system makes suggestions for the clinician to look through and the clinician picks useful information and removes ...
Clinical decision support system: providing information electronically about protocols and standards for healthcare ... e-Mental health implementation into clinical practice and healthcare systems remains limited and fragmented.[34][35] ... "Contemporary Clinical Trials. 33 (1): 237-46. doi:10.1016/j.cct.2011.10.001. PMC 3253875. PMID 22008248.. ... Two programs have been supported for use in primary care by the Australian Government.[citation needed] The first is Anxiety ...
... standardised electronic health record data model designed to support interfacing to clinical decision support (CDS) systems. ... "HL7 Version 3 Standard: Clinical Decision Support; Virtual Medical Record (vMR) Logical Model, Release 2". Health Level Seven ...
ISBN 978-1-60406-053-9. Al-Kadi, OS (April 2015). "A multiresolution clinical decision support system based on fractal model ... The clinical decision to irradiate after a subtotal resection is somewhat controversial, as no class I randomized, controlled ... "Adult Central Nervous System Tumors Treatment". National Cancer Institute. 26 August 2016. Archived from the original on 28 ... Even if, by general rule, neoplasms of the nervous system (brain tumors) cannot metastasize into the body because of the blood- ...
... and improvement of HIV screening rates in a Midwest primary care practice using an electronic clinical decision support system ... Marcelin's clinical practice in infectious disease focuses on treating skin and soft tissue infections as well as caring for ... Marcelin advocated for diversity, equity, and inclusion in medicine and conducts research and publishes articles to support her ... As Associate Director of the Antimicrobial Stewardship residency program, Marcelin educates and supports future residents in ...
Often uses medical logic module and/or Arden syntax to facilitate fully integrated Clinical Decision Support Systems (CDSS). ... and internet-based information systems to support clinical decisions. Prescribing errors are the largest identified source of ... Patient-centered decision support The ordering process includes a display of the patient's medical history and current results ... and evidence-based clinical guidelines to support treatment decisions. ...
The decision-support tools are based on published clinical research, and MDCalc's content is written by physician authors. ... scoring systems, and algorithms. MDCalc is also a mobile and web app. ... MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support ... and provides over 500 medical calculators and other clinical decision-support tools. The MDCalc.com website was launched in ...
"Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features ... and internet-based information systems to support clinical decisions. However, many system implementations have experienced ... clinical decision support (CDS), and computerized physician order entry (CPOE). They further defined applications for ... It supports health information management across computerized systems and the secure exchange of health information between ...
Commercial CAA products are usually classified as clinical decision support systems that support medical professionals in ... decision support system).[citation needed] The components of a CAA system depend on its complexity. Whereas some of the simpler ... In a prospective clinical study to evaluate the performance of a CAA system, the output of the CAA system is compared to the ... "Development of a pediatric cardiac computer aided auscultation decision support system". 2010 Annual International Conference ...
"A multi-agent system to support evidence based medicine and clinical decision making via data sharing and data privacy". ... Decision Support Systems. 88: 51-66. doi:10.1016/j.dss.2016.05.008. ISSN 0167-9236.. ... "Managing Attribute-Value Clinical Trials Data Using the ACT/DB Client-Server Database System". Journal of the American Medical ... Of the 190 respondents to the survey, 135 identified themselves as clinical or basic research scientists, and the population of ...
This clinical and scientific knowledge language is used in an executable format by clinical decision support systems to ... pediatric clinical decision support system, an ambulatory CDS that has been running within Indianapolis area health systems for ... group developed many Clinical decision support system using Arden syntax standard ranging from a few to several dozens of MLMs ... A medical decision support system at Linkoping University, Linkoping, Sweden comprises a clinical data base, Medical database ...
... self-management support, delivery system design, decision support and clinical information systems. Evidence-based change ... The CCM summarizes the basic elements for improving care in health systems on different levels. These elements are the ... Anderson G, Knickman JR (2001). "Changing the chronic care system to meet people's needs". Health Aff (Millwood). 20 (6): 146- ... The Clinical Journal of Pain. 29 (3): 233-44. doi:10.1097/AJP.0b013e31824c5d9f. PMID 22874090. S2CID 33688569. Chronic Care ...
This involves an integrated solution for e-prescribing and medicines administration and clinical decision support systems ... It has been given up to £5 million of national funding to develop new digital systems to support mental health patients. It ... made a three year agreement with Cambio Healthcare Systems in 2018 to create what was described as "a disruptive clinical ...
Additionally, sophisticated clinical decision support systems incorporate predictive analytics to support medical decision ... the decision, and the forecast results of the decision-in order to predict the results of decisions involving many variables. ... Decision models are generally used to develop decision logic or a set of business rules that will produce the desired action ... Decision models describe the relationship between all the elements of a decision-the known data (including results of ...
Computational Clinical Neuroscience is a field that brings together experts in neuroscience, neurology, psychiatry, decision ... GENESIS, a general neural simulation system.. Conferences[edit]. *Computational and Systems Neuroscience (COSYNE) - a ... Experimental and computational work have since supported this hypothesis in one form or another. ... processes like acquired rule-based systems in decision making and the manipulation of visual representations in decision making ...
... and engaging in complex clinical reasoning (medical decision-making).[97] Writing in 2002, Snyderman and Weil remarked that by ... supported by the NHS in the UK are: acupuncture, aromatherapy, chiropractic, homeopathy, massage, osteopathy and clinical ... "An alternative medical system is a set of practices based on a philosophy different from Western biomedicine."[17] ... "British Journal of Clinical Pharmacology. 54 (6): 577-82. doi:10.1046/j.1365-2125.2002.01699.x. PMC 1874503. PMID 12492603.. ...
Each state operates its own Medicaid system, but this system must conform to federal guidelines in order for the state to ... "Status of State Action on the Medicaid Expansion Decision". The Henry J. Kaiser Family Foundation. April 5, 2018. Retrieved ... "Association of Dental Support Organizations. Archived from the original on March 15, 2016. Retrieved March 24, 2016.. ... "The Oregon Experiment - Effects of Medicaid on Clinical Outcomes". New England Journal of Medicine. 368 (18): 1713-1722. doi ...
... acnes and the immune system have shown promise for improving acne in early clinical trials.[91] Another avenue of early-stage ... Limited evidence supports comedo extraction, but it is an option for comedones that do not improve with standard treatment.[8][ ... Bajaj L, Berman S (2011). Berman's Pediatric Decision Making. Elsevier Health Sciences. p. 572. ISBN 978-0323054058. . Archived ... Archer CB, Cohen SN, Baron SE (May 2012). "Guidance on the diagnosis and clinical management of acne". Clinical and ...
Clinical pharmacology is concerned with how systems of therapeutics interact with patients. ... The medical decision-making (MDM) process involves analysis and synthesis of all the above data to come up with a list of ... Medicine is a relatively modern branch of clinical medicine that deals with pain and symptom relief and emotional support in ... Review of systems (ROS) or systems inquiry: a set of additional questions to ask, which may be missed on HPI: a general enquiry ...
Duke, Benjamin (2009). The History of Modern Japanese Education: Constructing the National School System 1872-1890. Rutgers ... Tax-supported schooling for girls began as early as 1767 in New England. It was optional and some towns proved reluctant. ... 1962: Martha Bernal, who was born in Texas, became the first Latina to earn a PhD in psychology, which she earned in clinical ... v. Bell, 456 U.S. 512 (1982). In 1984, the case Grove City v. Bell, 465 U.S. 555 (1984) a, "U.S. Supreme Court decision held ...
Grissom RJ (1994). "Statistical analysis of ordinal categorical status after therapies". Journal of Consulting and Clinical ... then finding the proportion of pairs that support a hypothesis.[8] To illustrate, in a study with a sample of ten hares and ten ... "Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules" ...
"European Journal of Clinical Chemistry and Clinical Biochemistry (Submitted manuscript). 32 (9): 685-9. doi:10.1515/cclm. ... peripheral nervous system, and central nervous system.[61][84] Many of the signs and symptoms of Lyme disease are a consequence ... Supported by some advocacy groups, a number of class-action lawsuits were filed against GlaxoSmithKline, alleging the vaccine ... revert to normal after infection ends and therefore can be used as objective markers of treatment success and inform decisions ...
The length, breadth, and depth of chiropractic clinical training do not support the claim of broad diagnostic competency ... supported by evidence) and conceivably reimbursable under managed care health payment systems.[69] Evidence-based guidelines ... This culminated in a landmark 1987 decision, Wilk v. AMA, in which the court found that the AMA had engaged in unreasonable ... "is not supported by any clinical research evidence that would allow claims to be made that it is the cause of disease."[49] ...
"Preparing a Complaints/eMDR System for Upcoming FDA Mandate". Sparta Systems. 18 May 2015.. ... Journal of Clinical Engineering[79]. University Based Research Packaging InstitutesEdit. *University of Minnesota - Medical ... Life support equipment is used to maintain a patient's bodily function. This includes medical ventilators, incubators, ... do not provide information about safety or effectiveness that would help patients and physicians make well informed decisions. ...
... support, and protect the brain tissue. Blood vessels enter the central nervous system through the perivascular space above the ... "Asia-Pacific Journal of Clinical Oncology. 14 (1): 40-51. doi:10.1111/ajco.12756. ISSN 1743-7563.. ... The decision to prescribe this treatment is based on a patient's overall health, type of tumor, and extent of the cancer. The ... Of numerous grading systems in use for the classification of tumor of the central nervous system, the World Health Organization ...
Research has clearly supported the idea that decision latitude and demands relate to strains, but research findings about ... and low support to clinical depression.[112] A meta-analysis that pooled the results of 11 well-designed longitudinal studies ... DeQuattro, V., & Hamad, R. (1985). The role of stress and the sympathetic nervous system in hypertension and ischemic heart ... Decision authority refers to employees being able to make decisions about their work (e.g., having autonomy).[60] These two ...
"Max Biaggi takes clinical victory at dramatic Motegi encounter". motogp.com.. *^ "Rossi wins dramatic Philip Island encounter ... "Hayden explains decision to sit out San Marino race". motogp.com. August 31, 2008. Retrieved December 24, 2012.. ... As a result of the injuries, Hayden was placed on life support in an intensive care unit.[186] After no signs of recovery, ... due to an electrical system problem which prevented accurate fuel monitoring. Colin Edwards captured Hayden's third-place ...
Paul Henri Thiry, Baron d'Holbach, System of Nature; or, the Laws of the Moral and Physical World (London, 1797), Vol. 1, p. 92 ... In his book, The Illusion of Conscious Will[187] Wegner summarizes what he believes is empirical evidence supporting the view ... Schneider, K. (1959). Clinical Psychopathology. New York: Grune and Stratton.. *^ Frith, CD; Blakemore, S; Wolpert, DM (2000 ... Efforts of will theory is related to the role of will power in decision making. It suggests that the indeterminacy of agent ...
... this one-time support group showed that sing-alongs can be powerful in providing support and connectedness in a group, ... Grocke, D. & Wigram, T. (2007). Receptive methods in music therapy: Techniques and clinical applications for music therapy ... The rise of an understanding of the body and mind in terms of the nervous system led to the emergence of a new wave of music ... With the definition of evidence-based health care as "the conscientious use of current best evidence in making decisions about ...
Justice System Reform Council (2001). For a Justice System to Support Japan in the 21st Century. ... reversing an earlier decision.[221] The decision was reversed again in July 2006, when the board voted to only allow the names ... implementing elements such as clinical training, which has become an essential part of legal education in the U.S. and in the J ... Even though the legal system of Canada is mostly a transplant of the English system (Quebec excepted), the Canadian system is ...
The Journal of Clinical Investigation (Research Support). 1995-06, 95 (6): 2986-8. PMC 295988. PMID 7769141. doi:10.1172/ ... When EMA and FDA decisions conflict: differences in patients or in regulation?. BMJ (Clinical research ed.). 2013-08-21, 347: ... Obesity and workers' compensation: Results from the Duke Health and Safety Surveillance System. Arch. Intern. Med. (Research ... BMJ (Clinical research ed.) (Meta-analysis). 2012-05-16, 344: e2088. PMC 3355191. PMID 22596383. doi:10.1136/bmj.e2088.. ...
New Simulated Clinical Experiences (SCEs) are now available for anesthesia, allied health, Pediatric Advanced Life Support ( ... a b c d Petty, M. D., Windyga, P. S. (1999). A High Level Architecture-based Medical Simulation System. SIMULATION, 73, 281-287 ... The analysis phase uncovers the decision-making process behind observed actions.[23] Common questions posed, or statements made ... The Clinical Teacher, 12, 171-175. DOI: 10.1111/tct.12300. *^ a b c d e f g h i j Rudolph, J., Simon, R., Dufresne, R. & Raemer ...
... develop a new clinical cancer research unit at Northwell Health in Lake Success, NY, to support early-phase clinical studies of ... Other research foci: autism genetics; mapping of the mammalian brain; neural correlates of decision making. ... teachers of biology in the K-12 system, and students from the elementary grades through high school. In the past 10 years CSHL ... It is one of 68 institutions supported by the Cancer Centers Program of the U.S. National Cancer Institute (NCI) and has been ...
"2016 - Nurses: A Force for Change: Improving health systems' resilience". www.icn.ch. Retrieved 14 May 2016.. ... In her youth she was respectful of her family's opposition to her working as a nurse, only announcing her decision to enter the ... Nightingale scholar Lynn McDonald has dismissed these criticisms as "often preposterous", arguing they are not supported by the ... Gill, Christopher J.; Gill, Gillian C. (June 2005). "Nightingale in Scutari: Her Legacy Reexamined". Clinical Infectious ...
National health system[edit]. Cuba's national health system is made up of multiple tiers: 1) the community containing ... Specialists at the polyclinic are there to support physicians when they are needed. Each clinic of specialists supports 20-40 ... The U.S. State Department has argued that during the economic depression "the Cuban government made a deliberate decision to ... Basic work teams within the polyclinics supervise and evaluate the neighborhood and clinical health work of the family medicine ...
a b Richmond, T. S. (May 1997). "Cerebral Resuscitation after Global Brain Ischemia", AACN Clinical Issues 8 (2). Retrieved on ... Hypothermia therapy for neonatal encephalopathy is the only evidence-supported therapy, but antioxidant drugs, control of blood ... Maryland Institute for Emergency Medical Services Systems (2004). Retrieved on 2007-04-13. ... Treatment decision often involve complex ethical choices and can strain family dynamics.[36] ...
Saunders, D. (1989). Type Differentiation Indicator Manual: A scoring system for Form J of the Myers-Briggs Type Indicator. ... Science and Pseudoscience in Clinical Psychology, Lilienfeld SO, Lohr JM, Lynn SJ (eds.). Guilford, ISBN 1-59385-070-0 ... Although meta-analysis claim support for validity and reliability,[65][66] studies suggest that the MBTI "lacks convincing ... Those who prefer feeling tend to come to decisions by associating or empathizing with the situation, looking at it 'from the ...
Within racial communities, the decision to come out can be costly, as the threat of loss of support from family, friends, and ... or endure relationship difficulties with no support system.[212] Men's shaping of women's sexuality has proven to have an ... Journal of Consulting and Clinical Psychology, 71 (1), pp. 53-61. ... Bullough remarked that the information was being used to support the attitude that lesbians were not abnormal or maladjusted, ...
"First Published Data on Leadless Pacemaker Supports Efficacy". Medscape.. *^ Mazumdar, Tulip (2013-11-19). "British charity ... The first clinical implantation into a human of a fully implantable pacemaker was in 1958 at the Karolinska Institute in Solna ... The outer casing of pacemakers is so designed that it will rarely be rejected by the body's immune system. It is usually made ... or by those with legal authority to make decisions for patients, to deactivate implanted cardiac devices. Lawyers say that the ...
... "drive the person toward the creation of certitude in systems of meaning which are supported by tradition and authority" even ... "Clinical, Cosmetic and Investigational Dermatology. 9: 383-392. doi:10.2147/CCID.S76088. PMC 5076546 . PMID 27799808.. ... Choice or decisionEdit. Anxiety induced by the need to choose between similar options is increasingly being recognized as a ... Peripherally, the autonomic nervous system, especially the sympathetic nervous system, mediates many of the symptoms. Increased ...
"Ranum's supports Dawkins's "out campaign" for atheists". Retrieved 12 April 2012. Generally, I do not get a lot of satisfaction ... He is best known for his research into the immune system. Mechnikov received the Nobel Prize in Medicine in 1908, shared with ... His secular, scientific values came well before he was old enough to make such calculating career decisions. For example, while ... which was dedicated to the interaction between experimental and clinical neurology (still being published today).[166][167] ...
"Botswana:The Health System - AHO". Retrieved November 30, 2016.. *^ JLN. "Burkina Faso adopts universal health insurance system ... However, Medibank was supported by the subsequent Fraser Coalition (Australia) government and became a key feature of ... The central government office-the Department of Health-is not involved in day-to-day decision making in either the Strategic ... that access to NHS services is based on clinical need and not an individual's ability to pay; and that care is never refused on ...
Gallup furthermore established public support for many issues supported by the Pro-Life community and opposed by the Pro-Choice ... Of those who knew of the decision, 56% agreed with the decision and 32% were opposed.[115] An ABC poll from 2003 found that 62 ... "Clinical Guidelines: Induction of fetal demise before abortion" (PDF). Contraception: a publication of Society of Family ... "CDCs Abortion Surveillance System FAQs". Center for Disease Control and Prevention. 2012-11-21. Retrieved 2013-08-08.. ...
This system was phased out in 1972-1977 in favor of the modern system where grades 1-9 are mandatory. After the age of 15, the ... A Bachelor of Medicine (lääketieteen kandidaatti, medicine kandidat) is allowed to conduct clinical work under the supervision ... In the rare case where a student needs to repeat, the decision is made by the teachers and the headmaster after interviewing ... The purpose of the "Free Education" is not to provide professional or degree-oriented education but to "support the multi- ...
Clinical Decision Support (CDS). https://healthit.ahrq.gov/ahrq-funded-projects/clinical-decision-support-cdsexternal icon. ... Clinical Decision-Support Systems (CDSS), Considerations for Implementationexternal icon. *Resources. CDSS is supported and ... Clinical Decision Support (CDS). https://www.healthit.gov/policy-researchers-implementers/clinical-decision-support-cdsexternal ... Clinical Decision-Support Systems (CDSS). https://www.thecommunityguide.org/findings/cardiovascular-disease-clinical-decision- ...
"EBMEDS Clinical Decision Support". EBMEDS. Duodecim EBMEDS Clinical Decision Support Decision support chapter from Coieras ... "Decision support systems ." 26 July 2005. 17 Feb. 2009 <[1]. Berner, Eta S., ed. Clinical Decision Support Systems. New York, ... An example of how a clinical decision support system might be used by a clinician is a diagnosis decision support system. A ... "clinical decision support systems (CDSS) are computer systems designed to impact clinician decision making about individual ...
... Opportunities, Technological Advancement and Future Analysis 2025 - Medical ... 3.2.8 Clinical Decision Support System Market - By Setting. 3.2.9 Clinical Decision Support System Market - By Region. 3.2.9.1 ... 3.2.1 Clinical Decision Support System Market - By Type. 3.2.2 Clinical Decision Support System Market - By Product. 3.2.3 ... 3.2.5 Clinical Decision Support System Market - By Delivery Mode. 3.2.6 Clinical Decision Support System Market - By Model. 3.2 ...
Abstract Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of ... Clinical Decision Support System Impacts On Healthcare System. 1286 Words , 6 Pages Clinical Decision Support System Impacts on ... Clinical Decision Support System ( Cdss ). 1863 Words , 8 Pages * Clinical Decision Support Systems ( Cdss ). 910 Words , 4 ... Clinical Decision Support Systems ( Cdss ). 1781 Words , 8 Pages * Clinical Decision Support System ( Cdss ). 850 Words , 4 ...
Data Mining and Clinical Decision Support Systems. In: Berner E. (eds) Clinical Decision Support Systems. Health Informatics. ... Anooj P. Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules. J King Saud Univ- ... This chapter discusses a variety of data mining techniques that have been used to develop clinical decision support systems, ... Ravindran S, Jambek AB, Muthusamy H, Neoh S-C. A novel clinical decision support system using improved adaptive genetic ...
The budding European market for clinical decision support systems could be propelled into growth with the development of more ... The budding European market for clinical decision support systems could be propelled into growth with the development of more ... vendors must seek to create a strong relationship between clinical decision support and enhanced patient safety," says Frost & ... CDS systems assist clinicians in making treatment decisions, by issuing alerts and reminders, assisting with diagnoses, image ...
Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications.(Research Article, Report) by ... integrating flexible clinical pathways into clinical decision support systems using context and rules," Decision Support ... Support+Systems+for+Comorbidity%3a+Architecture%2c...-a0541641773. *APA style: Clinical Decision Support Systems for ... Systems+for+Comorbidity%3a+Architecture%2c...-a0541641773,/a,. Citations: *MLA style: "Clinical Decision Support Systems for ...
... , D. Dhariwal, A. Joshi, M. Grasso, American Medical Informatics ... Text and Ontology Driven Clinical Decision Support System. Tweet. Authors: Deepal Dhariwal, Anupam Joshi, and Michael A. Grasso ... we discuss our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed ... clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional ...
... or a given clinical information system could have several clinical decision support systems operating concurrently. In either ... Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials ... Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials. ... Computerised clinical.... *Computerised clinical decision support systems and absolute improvements in care: meta-analysis of ...
... Review * ... CONTEXT: Clinical decision support systems (CDSSs) can help clinicians assess cardiovascular disease (CVD) risk and manage CVD ... clinical tests, and treatments. However, more evidence is needed from implementation of CDSSs within the broad context of ... recommended clinical tests completed by clinicians, and recommended treatments prescribed by clinicians (median increases of ...
Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with ... Using electronic health record data to establish a chronic kidney disease surveillance system in China: protocol for the China ...
Clinical Decision Support System Market : OverviewThis report on the clinical decision support system market analyzes the ... Clinical Decision Support System Market Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017-2025. ... The Global Clinical Decision Support System Market is segmented as given below:. Global Clinical Decision Support System Market ... Clinical Decision Support System Market : Overview. This report on the clinical decision support system market analyzes the ...
Clinical Risk Assesment of CS-1 Decision Support System. This study has been completed. ... cs-1 decision support system. insulin. hyperglycemia. tight glycemic control. intensive care. adults. ... At time 0, a blood glucose measurement will be taken, manually entered into the CS-1 decision support system and both a insulin ... For safety reasons: In case that the suggested measurement interval of the decision support system exceeds a 90 minute interval ...
Objective: Our objective was to develop and test decision support systems (DSS) based on clinical guidelines which could be ... Figure 1. Algorithm For Acute Asthma Severity Decision Support System View this figure. Development and Scoring of Clinical ... Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and ... Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer-based clinical decision support systems on clinician ...
Assessment of Clinical Decision Support Systems for Predicting Coronary Heart Disease: 10.4018/978-1-5225-1908-9.ch008: The use ... "Assessment of Clinical Decision Support Systems for Predicting Coronary Heart Disease." Fuzzy Systems: Concepts, Methodologies ... "Assessment of Clinical Decision Support Systems for Predicting Coronary Heart Disease." In Fuzzy Systems: Concepts, ... Assessment of Clinical Decision Support Systems for Predicting Coronary Heart Disease. Sidahmed Mokeddem (University of Oran 1 ...
Medical guidelines and best practises are used in medicine to increase the quality of the health-care delivery system. To ... Clinical Decision Support Systems for Making It Easy to Do It Right: 10.4018/978-1-4666-0975-4.ch015: ... clinical decision support systems (CDSS) have been developed. These systems are defined as Computer-based information systems ... "Clinical Decision Support Systems for Making It Easy to Do It Right." Neonatal Monitoring Technologies: Design for Integrated ...
Scope of Clinical Decision Support Systems Issues for success or failure Evaluation of Clinical Decision Support Systems ... Scope of Clinical Decision Support Systems Issues for success or failure Evaluation of Clinical Decision Support Systems ... CLINICAL DECISION SUPPORT -A case study: clinical decision support at lds hospital. medical decision-making requires the ... A clinical decision-support system is any computer program designed to help health professionals make clinical decisions. ...
In this paper we highlight how Big Data enabled integrated data collections may support clinical decision-making together ... Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrhythmogenic Diseases. ... This makes possible to design IT infrastructures that favor the implementation of the so-called Learning Healthcare System ... including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the ...
A computer based clinical decision support system was written for the two most commonly used practice computing systems (EMIS ... How to use an article evaluating the clinical impact of a computer-based clinical decision support system. JAMA 1999; 282: 67- ... Our results do not support the use of this computer based clinical decision support system in the management of hypertension. ... since neither computing system was Windows based. More recently developed computer based clinical decision support systems ...
The clinical decision support systems market is expected to reach USD 1,519.2 million by 2021 from USD 856.3 million in 2016, ... The benefits offered by clinical decision support systems is driving stakeholders in the healthcare system including key ... The clinical decision support systems market is expected to be challenged by the lack of skilled IT professionals in the ... Clinical Decision Support Systems Market by Component, Delivery Mode, Product Type, Model, Type, User Interactivity, ...
Clinical Decisions Support Systems I: Known Unknowns. By Peter DAdamo. April 29, 2021. Bioinformatics, Detoxification, ...
Overview This report on the clinical decision support system market analyzes the current and future scenario of the global ... The Global Clinical Decision Support System Market is segmented as given below:Global Clinical Decision Support System Market ... Clinical Decision Support System Market : OverviewThis report on the clinical decision support system market analyzes the ... healthcare IT are the major drivers of the global clinical decision support system market.The clinical decision support system ...
A clinical decision-support system with interactive alerts improved CD4 cell count in HIV Annals of Internal Medicine; 158 (8): ... To review the evidence from controlled trials of the effects of computer-based clinical decision support systems (CDSSs) on ... Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of Computer-based Clinical Decision Support Systems on Clinician ... Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal ...
Clinical and Economic Impact of an Electronic Medical Record Interfaced Decision Support System Reinforced With Patient ... Clinical and Economic Impact of a Web Based, Electronic Medical Record Interfaced Electronic Decision Support System ... decision support system for handling drug-drug interactions and drug information, termed DDI+ reinforced with patient specific ... Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about ...
The threshold probability for optimal clinical use of this CDS tool is currently being evaluated in an ongoing clinical … ... However, the clinical utility of these models is highly dependent upon the clinicians individual risk tolerance. ... Combat-Related Invasive Fungal Infections: Development of a Clinically Applicable Clinical Decision Support System for Early ... We sought to develop combat-related IFI clinical decision support (CDS) tools to assist providers to make treatment decisions ...
Joost Huiskens about a systems analysis project for the design of a clinical decision support system (CDSS) which integrates ... what is a clinical decision support system (CDSS) and why does it matter to clinicians?. A clinical decision support system is ... A well-performed systems analysis can make all the difference for a successful adoption of a clinical decision support system ... I recently had an opportunity to peek into a systems analysis project for the design of a clinical decision support system ( ...
A fast and accurate data transmission from glucose meter to clinical decision support systems (CDSSs) is crucial for the ... Keywords: Clinical Decision Support Systems; Medication Errors; Mobile Health; Standardization; Type 2 Diabetes Mellitus ... Development of a Protocol for Automated Glucose Measurement Transmission Used in Clinical Decision Support Systems Based on the ... Clinical+Decision+Support+Systems+Based+on+the+Continua+Design+Guidelines ...
This reviews the clinical benefits of pharmacist dr.. ... Clinical decision support system integrated with the audit tool ... equipped with some degree of clinical decision support. Clinical decision support systems (CDSS) provide computerized ... The most advanced implementations of such systems also provide real-time clinical decision support such as dosage and ... Computerized physician order entry, clinical decision support systems, electronic prescription audit tool, medication errors, ...
Clinical Decision Support Systems for Chronic Diseases: A Systematic Literature Review}, year={2020}, month={May}, volume={0}, ...
2022 Global Clinic Decision Support System market is expected to - Market research report and industry analysis - 10593587 ... Global Clinical Decision Support Systems Market Insights, Opportunity, Analysis, Market Shares And Forecast 2016 - ... web-based clinical decision support systems, on- based clinical decision support systems, cloud- based clinical decision ... GLOBAL CLINICAL DECISION SUPPORT SYSTEM MARKET BY WEB-BASED CLINICAL DECISION SUPPORT SYSTEM MARKET $ MILLION). GLOBAL CLINICAL ...
  • Clinical decision support systems (CDSS) are computer-based programs that analyze data within EHRs to provide prompts and reminders to assist health care providers in implementing evidence-based clinical guidelines at the point of care. (cdc.gov)
  • 5 More data on the complete costs of developing, implementing, and operating CDSS systems are needed to fully assess its cost-effectiveness or return on investment. (cdc.gov)
  • Legal considerations for CDSS begin with the vendors who interpret and translate guidelines into algorithms used by these systems. (cdc.gov)
  • Nevertheless, clinical decision support systems (CDSS) that use machine learning and artificial intelligence, are hardly present in dementia diagnostics, as they are in many other disease areas. (europa.eu)
  • The PredictND project was exceptional in the sense that the CDSS developed and validated in the project became available for actual clinical use in Europe already during the project. (europa.eu)
  • This sets PredictND apart from usual research projects that use non-certified CDSS prototypes that can provide only coarse estimates, since the tools cannot be used in actual clinical practice. (europa.eu)
  • A clinical decision support system (CDSS) applications enable clinicians to make a clinical decision. (openpr.com)
  • The CDSS software enables the clinicians make more informed decision regarding a particular disease. (openpr.com)
  • The CDSS application are commonly used to enhance healthcare provided to patients and help doctors or other medical professionals make decisions. (openpr.com)
  • A clinical decision support system (CDSS) is a health information technology system designed to provide physicians and other health professionals with clinical decision support (CDS), that is, assistance with clinical decision-making tasks. (wikipedia.org)
  • This implies that a CDSS is simply a decision support system that is focused on using knowledge management in such a way so as to achieve clinical advice for patient care based on multiple items of patient data. (wikipedia.org)
  • The two main types of CDSS are knowledge-based and non-knowledge-based : An example of how a clinical decision support system might be used by a clinician is a diagnosis decision support system. (wikipedia.org)
  • Another example of a CDSS would be a case-based reasoning (CBR) system. (wikipedia.org)
  • citation needed] Pre-diagnosis CDSS systems are used to help the physician prepare the diagnoses. (wikipedia.org)
  • Post-diagnosis CDSS systems are used to mine data to derive connections between patients and their past medical history and clinical research to predict future events. (wikipedia.org)
  • Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. (bartleby.com)
  • ABSTRACT Clinical decision support system (CDSS) is a technology application that assists clinicians at the point of care to make clinical decisions for patients with specific conditions. (bartleby.com)
  • this is due to an increasing recognition that stronger CDSS are crucial to achieve a high quality care with attendance lower morbidity and mortality.1 CDSS is defined as "computer-based information systems designed to assist health care providers in implementing clinical guidelines at the point of care. (bartleby.com)
  • Since the 1970s, Clinical decision support systems (CDSS) have been implemented, tested and evaluated in different health environments. (bartleby.com)
  • Background Information Clinical decision support system (CDSS) is gaining increased recognition in healthcare organizations. (bartleby.com)
  • CDSS is a class of computerized information system that supports decision-making activities2. (bartleby.com)
  • However, this looks set to change as healthcare systems eventually become more aware of the use of CDS systems in improving patient safety but - in the meantime - growth is likely to be spurred by the growing implementation of enterprise wide solutions with CDSS functionality and their overall role in healthcare delivery. (pharmatimes.com)
  • F&S believes the CDSS sector will see a greater share of innovation and product development over the coming years, but warns vendors they will need to plough funds into research and explore new strategies for creatively testing the solutions because these systems affect patient outcomes, and secondly due to the political, economic and technological factors that have thus far impeded adoption. (pharmatimes.com)
  • A clinical decision support system (CDSS) is designed for ubiquitous health monitoring, which provides mobile health service in order to help physicians and doctors monitor patients' conditions anytime and anywhere with the aid of wireless networks [1]. (thefreelibrary.com)
  • In such an ubiquitous health monitoring system, building on the biosignal data of patients, a CDSS can assess their conditions with a certain algorithm and inform physicians and doctors immediately when an emergency case occurs, being able to reduce the delay for medical treatment of a critical patient [2]. (thefreelibrary.com)
  • Most work in the design of CDSS has focused on making clinical decisions on one type of disease, either following the clinical guidelines of this specific disease or employing various data mining schemes to extract clinical rules from numerous biosignal data of patients [3-10]. (thefreelibrary.com)
  • The subject of this paper is to propose new clinical decision support system (CDSS) for evaluating risk of CAD called CADSS. (igi-global.com)
  • To support implementation and application of these guidelines, clinical decision support systems (CDSS) have been developed. (igi-global.com)
  • Three of 4 studies of computer-assisted dosing, 1 of 5 studies of computer-aided diagnosis, 4 of 6 studies of preventive care reminder systems, and 7 of 9 studies of computer-aided quality assurance for active medical care that assessed clinician performance showed improvements in clinician performance using a CDSS. (annals.org)
  • I recently had an opportunity to peek into a systems analysis project for the design of a clinical decision support system (CDSS) which integrates computer vision to help radiologists monitor the progression of tumors. (sas.com)
  • To begin this discussion, what is a clinical decision support system (CDSS) and why does it matter to clinicians? (sas.com)
  • The first step in the systems analysis was to understand the challenges that were commonly encountered when designing a CDSS. (sas.com)
  • While there are many challenges encountered during the design of a CDSS, the key challenges are integration with clinician workflow and integration with an existing hospital systems infrastructure. (sas.com)
  • Clinical decision support systems (CDSS) can be designed to support clinicians in detection and treatment. (bmj.com)
  • Our study will (1) determine the diagnostic accuracy of the CDSS compared with gold standard decisions created by two blinded, experienced paediatricians, and (2) compare the system's diagnostic accuracy with that of routine clinical care decisions compared with the same gold standard. (bmj.com)
  • The project has focused on developing a CDSS to support prevention of pressure ulcer and undernutrition that is completely integrated in the electronic health record in nursing homes. (diva-portal.org)
  • Does a clinical decision support system (CDSS) plus a community intervention reduce antimicrobial use for acute respiratory tract infections (RTIs) in rural primary care settings more than a community intervention alone? (acpjc.org)
  • The CDSS intervention included 3 parallel decision support tools (2 paper-based versions including flow charts or self-completed medical histories and 1 personal digital assistant version), each providing the diagnostic and therapeutic guidelines on several acute RTIs (e.g., sinusitis, pharyngitis, and otitis media). (acpjc.org)
  • We previously developed and reported on a prototype clinical decision support system (CDSS) for cervical cancer screening. (pubmedcentralcanada.ca)
  • Care providers who are potential end-users of the CDSS were invited to provide their recommendations for a random set of patients that represented diverse decision scenarios. (pubmedcentralcanada.ca)
  • As a potential solution we have previously developed and reported a prototype clinical decision support system (CDSS), which automatically analyzes patient data in the electronic health record (EHR), and suggests the guideline-based recommendation to care providers. (pubmedcentralcanada.ca)
  • Moreover, the CDSS on the cloud needs historic medical records of different patients to build their decision-support system, which may also expose patients' private health information to an unauthorized person. (scirp.org)
  • In this paper, we focus on the epistemological issues arising from the development and implementation of a class of AI for clinical practice, namely clinical decision support systems (CDSS). (cdc.gov)
  • We will first provide an overview of the epistemic tasks of medical professionals, and then analyse which of these tasks can be supported by CDSS, while also explaining why some of them should remain the territory of human experts. (cdc.gov)
  • Therefore, we suggest that it is more appropriate to think of a CDSS as clinical reasoning support systems (CRSS). (cdc.gov)
  • To address this burden, the Community Preventive Services Task Force (CPSTF) recommends clinical decision-support systems (CDSS) for prevention of cardiovascular disease. (coprevent.org)
  • CDSS are often used within electronic health record systems and linked with knowledge management systems that provide access to scientific literature and strategies for cardiovascular disease prevention. (coprevent.org)
  • Abstract- Clinical Decision Support System (CDSS), with various data mining techniques being applied to assist physicians in diagnosing patient disease with similar symptoms, has received a great attention recently. (ipl.org)
  • In this paper, we have given the CDSS with some advance technologies like Support Vector Machine (SVM) classifier has offered many advantages over the traditional healthcare systems and opens a new way for clinicians to predict patient's diseases. (ipl.org)
  • We also examined the influence of clinical setting (institutional vs ambulatory care), system- or user-initiation of CDSS, multi-faceted vs stand alone CDSS interventions and clinical target on practice changes in line with the intent of the CDSS. (biomedcentral.com)
  • 4 The CDSS Components All 6 components build the fully integrated Clinical Decision Support System 6. (docplayer.net)
  • 5 The integrated CDSS Process (online) Start Data Entry Data Process Output Terminology Data Base Knowledge Data Base WFM Patient Chart Chart Compliance Monitor CDSS Inference Engine The EMR system is designed for the use of structured data (for meaningful use The WFM (Work Flow Management) guides the user through the predefined clinical pathways The patient chart data are filtered and analysed by the CDSS inference engine. (docplayer.net)
  • 7 CDSS sample process for retinal eye disease (2) Based on the reported chief complaint or symptoms the system offers a pre-defined process for the work up and the following clinical pathways (work flow manager). (docplayer.net)
  • 8 CDSS sample process for retinal eye disease (3) The Chart Compliance Monitor reminds the physician or the clinical team if important and relevant information have not been entered. (docplayer.net)
  • That ensures a compliant chart for the meaningful use of the clinical decision support system (CDSS). (docplayer.net)
  • 10 CDSS sample process for retinal eye disease (5) The physician can choose the preferred knowledge document (patient education, study results, reference images, clinical guidelines etc. (docplayer.net)
  • 14 CDSS based clinical process (step 7-12) Step 7 CDSS Step 8 Provider Step 9 CDSS Step 10 CDSS Step 11 CDSS Step 12 Patient Providing up to date corresponding guidelines Deciding about evidence based treatment Providing individual patient education Storing the individual treatment plan Organizing the re-call ( , text message etc. (docplayer.net)
  • Objective: To review the use of clinical decision support systems (CDSS) available in the pediatric intensive care unit (PICU). (northwestern.edu)
  • Data syntheSIS: CDSS are operationally defined as computer software programs that aid healthcare providers in their clinical decision making. (northwestern.edu)
  • Once used solely for diagnostic support, many CDSS now have the ability to transform clinical practice through interactive assistance with therapeutic best practices. (northwestern.edu)
  • The recent emphasis on improving quality and patient safety through the incorporation of electronic health records as supported by Leapfrog and other agencies has encouraged advancements in the use of CDSS tools that leverage the capabilities of stand-alone electronic health records. (northwestern.edu)
  • CDSS are of particular interest in the PICU where rapid decision-making benefits from tools that can improve patient safety. (northwestern.edu)
  • In the current review, the types and features of various CDSS tools and the supporting evidence are discussed. (northwestern.edu)
  • Conclusion: CDSS have the potential to improve clinical practice in PICU settings. (northwestern.edu)
  • This paper introduces a Clinical Decision Support System (CDSS) for opioid substitution therapy. (docplayer.net)
  • 1. Introduction The objective of this paper is to introduce a Clinical Decision Support System (CDSS) for the opioid substitution therapy (OST) process. (docplayer.net)
  • An electronic clinical decision support system (CDSS) for maternal health care was piloted in six rural primary health centers of Tanzania to improve performance of health workers by facilitating adherence to World Health Organization (WHO) guidelines and ultimately improve quality of maternal health care. (biomedcentral.com)
  • Economic assessment of a new technology such as the CDSS is important in ensuring evidence based resource allocation decisions by providing information on intervention costs and benefits [ 9 ]. (biomedcentral.com)
  • Global market intelligence, research, and advisory company BIS Research released its latest report, "Clinical Decision Support Systems (CDSS) Market - Analysis and Forecast, 2017-2025", projecting that this sector would reach a global market size of USD 10.83 billion by 2025. (indiamedtoday.com)
  • The global market intelligence company, BIS Research has projected that the clinical decision support systems (CDSS) market would reach a global market size of USD 10.83 billion by 2025. (biovoicenews.com)
  • In its latest report, "Clinical Decision Support Systems (CDSS) Market - Analysis and Forecast, 2017-2025" , the BIS Research has predicted that the rate of medication errors and the harms they cause, both in terms of increasing healthcare costs and preventable fatalities, are expected to drive this growth. (biovoicenews.com)
  • This one page handout summarizes the Community Preventive Services Task Force (CPSTF) recommendation and the effectiveness evidence for clinical decision support systems (CDSS) to increase HIV screening. (thecommunityguide.org)
  • Clinical decision support system ( CDSS ) is an interactive decision support system (DSS). (pharmaceuticalintelligence.com)
  • Estimate the expenditure of computer-related worktime resulting from the use of clinical decision support systems (CDSS) to prevent adverse drug reactions (ADR) among patients undergoing chronic pain therapy and compare the employed check systems with respect to performance and practicability. (biomedcentral.com)
  • Nevertheless, the authors believe that the extra expenditure of time employing a CDSS is outweighed by their benefits, including reduced ADR risks and safer clinical drug management. (biomedcentral.com)
  • These measures at the point of care became the basis of our clinical decision support systems (CDSS). (beds.ac.uk)
  • Background Clinical decision support systems (CDSS) for cervical cancer prevention are generally limited to identifying patients who are overdue for their next routine/next screening, and they do not provide recommendations for follow-up of abnormal results. (elsevier.com)
  • Methods After making enhancements to the CDSS, we evaluated the performance of the clinical recommendations on 393 patients selected through stratified sampling from a set of 3,704 patients in a nonclinical setting. (elsevier.com)
  • As of 2012 it has been claimed that decision support will begin to replace clinicians in common tasks in the future. (wikipedia.org)
  • CDS systems assist clinicians in making treatment decisions, by issuing alerts and reminders, assisting with diagnoses, image recognition and providing therapy planning and review capabilities. (pharmatimes.com)
  • Clinical decision support systems embedded within EHRs-from pop-up alerts about serious drug allergies to more sophisticated tools incorporating clinical prediction rules-prompt clinicians to deliver evidence based processes of care, 7 discourage non-indicated care, 8 9 optimise drug orders, 10 11 and improve documentation. (bmj.com)
  • CONTEXT: Clinical decision support systems (CDSSs) can help clinicians assess cardiovascular disease (CVD) risk and manage CVD risk factors by providing tailored assessments and treatment recommendations based on individual patient data. (healthpartners.com)
  • Improvements were seen for recommended screening and other preventive care services completed by clinicians, recommended clinical tests completed by clinicians, and recommended treatments prescribed by clinicians (median increases of 3.8, 4.0, and 2.0 percentage points, respectively). (healthpartners.com)
  • Study quality was assessed, and data on setting, clinicians and patients, method of allocation, computer system, and outcomes were abstracted and verified using a structured form. (annals.org)
  • Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians. (nih.gov)
  • Clinical Decision Support systems link health observations with health knowledge to influence health choices by clinicians for improved health care pre and post diagnosis to predict diseases. (slideserve.com)
  • Clinical Decision Support (CDS) systems are poised to become the user interface of choice for clinical interaction with health IT, ultimately supplanting the EHR system as the primary health IT point of interface for clinicians. (consumerelectronicsnet.com)
  • Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. (biomedcentral.com)
  • Clinical decision making involves a reasoning process in which clinicians combine different types of information into a coherent and adequate 'picture of the patient' that enables them to draw explainable and justifiable conclusions for which they bear epistemological responsibility. (cdc.gov)
  • It could be used by practicing clinicians to model individual patients (entering the effects of needed clinical manipulations, and then running the model to test for optimal combinations of therapeutic manoeuvres). (unibo.it)
  • Decision boxes (DBoxes) are two-page evidence summaries to prepare clinicians for shared decision making (SDM). (biomedcentral.com)
  • From algorithms designed to support category-leading precision, to configurable screens and multi-parameter alarming, the Philips patient monitoring portfolio equips physicians, nurses, clinicians and care teams with trustworthy data. (philips.com)
  • This toolkit is designed for health care professionals and clinicians to help support their patients' hypertension control. (cdc.gov)
  • Clinical decision support systems provide information or recommendations to help clinicians make safe and evidence-based decisions. (ahrq.gov)
  • We evaluated the effect of a computer based clinical decision support system and cardiovascular risk chart on patient centred outcomes of absolute cardiovascular risk and blood pressure. (bmj.com)
  • To review the evidence from controlled trials of the effects of computer-based clinical decision support systems (CDSSs) on clinician performance and patient outcomes. (annals.org)
  • A better method of risk stratifying trauma patients for combat-related IFI is needed to improve clinical outcomes while minimizing morbidity related to overtreatment. (nih.gov)
  • Data to support improved patient outcomes from clinical decision-support systems (CDSSs) are lacking in HIV care. (annals.org)
  • Ultimately, the better implementation of CCDSS may lead to better-informed decisions and improved care and patient outcomes for a wide range of conditions. (biomedcentral.com)
  • Computerised clinical decision support systems (CDSSs) are used widely to improve quality of care and patient outcomes. (biomedcentral.com)
  • Cardiovascular disease was the most studied clinical target but few studies demonstrated significant improvements on the majority of prescribing outcomes. (biomedcentral.com)
  • Computerised clinical decision support systems (CDSSs) are espoused as powerful tools for influencing health care provider performance to improve quality of care and patient outcomes. (biomedcentral.com)
  • Evaluate user-related outcomes for systems that comply with human factors principles. (ahrq.gov)
  • These resources can help your clinical team implement protocols, use data to improve health outcomes, and be inspired by other practices' success stories. (cdc.gov)
  • This trial will test whether the addition of decision support software to aid the interpretation of the cardiotocogram (CTG) during labour will reduce the number of 'poor neonatal outcomes' in those women judged to require continuous electronic fetal heart rate monitoring. (biomedcentral.com)
  • For all participating women and babies, labour variables and outcomes will be stored automatically and contemporaneously onto the Guardian® system. (biomedcentral.com)
  • Whether it is achieving internal consensus on relevant priority quality measures, communicating to EHR vendors' whose programmers generally lack clinical contextual knowledge, or encouraging implementation of EHR that meaningfully impacts health outcomes, the path is challenging. (beds.ac.uk)
  • Although there is considerable improvement in the health care process measures and clinical outcomes through the use of CCDSSs, its effects on user workload and efficiency, safety, costs of care, provider and patient satisfaction remain understudied. (biomedcentral.com)
  • In the early days, CDSSs were conceived of as being used to literally make decisions for the clinician. (wikipedia.org)
  • The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors, practices for CVD-related preventive care services such as clinical tests and prescribed treatments, and management of CVD risk factors. (healthpartners.com)
  • CONCLUSIONS: CDSSs are effective in improving clinician practices related to screening and other preventive care services, clinical tests, and treatments. (healthpartners.com)
  • In this paper, the authors describe the characteristics of clinical decision support systems CDSSs for the diagnosis of CAD. (igi-global.com)
  • The aim of this study is to explain the clinical contribution of CDSSs for medical decision-making and compare data mining techniques used for their implementation. (igi-global.com)
  • A fast and accurate data transmission from glucose meter to clinical decision support systems (CDSSs) is crucial for the management of type 2 diabetes mellitus since almost all therapeutic interventions are derived from glucose measurements. (joanneum.at)
  • Clinical decision support systems (CDSSs) are believed to have the potential to improve care and change the behavior of health personnel. (diva-portal.org)
  • Clinical decision support systems (CDSSs) could support the diagnosis in RDs. (biomedcentral.com)
  • CDSSs appeared to perform better in institutional compared to ambulatory settings and when decision support was initiated automatically by the system as opposed to user initiation. (biomedcentral.com)
  • In their simplest form CDSSs provide narrative information requiring further processing and analysis by providers before clinical decisions are made. (biomedcentral.com)
  • 1 ] CDSSs support a range of prescribing practice activities relating broadly to initiating therapy, including the judicious selection of drug treatments, adhering to best practice care and checking allergies and drug interactions. (biomedcentral.com)
  • Garg et al [ 1 ] reviewed 100 randomised and non-randomised studies of CDSSs across a broad range of clinical targets including diagnosis, prevention, disease management, drug dosing and drug prescribing while the Kawamoto et al [ 2 ] review was restricted to randomised controlled trials (RCTs) but assessed the impact of both electronic and non-electronic systems. (biomedcentral.com)
  • Additionally, a qualitative evaluation of the used check systems was performed, employing a questionnaire asking five pain physicians to compare and rate the performance and practicability of the three CDSSs. (biomedcentral.com)
  • PredictND has understood how such CDSS's could be used in clinical practice in general and in solving the huge challenge of dementias. (europa.eu)
  • In fact, delaying institutionalization by one year will bring a 20% reduction in costs, which PredictND hopes to achieve if used in actual clinical practice. (europa.eu)
  • This means that from now on, it is possible to start measuring concrete cost savings in clinical practice. (europa.eu)
  • This makes possible to design IT infrastructures that favor the implementation of the so-called "Learning Healthcare System Cycle," where healthcare practice and research are part of a unique and synergic process. (frontiersin.org)
  • A computer based clinical decision support system was written for the two most commonly used practice computing systems (EMIS and AAH Meditel)so that it could be incorporated into routine clinical care. (bmj.com)
  • The problem with AI systems is that although they have tremendous potential in health care applications, the implementation in clinical practice is complex due to complex integration in the clinician's workflow and hospital infrastructure. (sas.com)
  • Provider acceptance and use in clinical practice exceeded 90% during the first 6 months after implementation. (jnccn.org)
  • Application of the best research evidence in clinical practice can improve the quality and safety of health care. (biomedcentral.com)
  • RNA standing the Ambion download clinical decision support systems: theory and practice hard psychiatrist transport Everybody( Life Technologies, Grand Island, NY) and gone as a coliBirgit for recent RT-PCR containing a 7300 veritable PCR liquid( Applied Biosystems, Foster City, CA). sunshade of y5 remained lived cooperating the dear novel trypsin group. (nortekmechanical.ca)
  • proteomic download clinical decision support systems: theory and practice them after using your title. (nortekmechanical.ca)
  • The use of pharmacogenomics (PGx) in clinical practice still faces challenges to fully adopt genetic information in targeting drug therapy. (cdc.gov)
  • To incorporate genetics into clinical practice, many support the use of Pharmacogenomics Clinical Decision Support Systems (PGx-CDS) for medication prescriptions. (cdc.gov)
  • In practice, this means that the system indicates what factors contributed to arriving at an advice, allowing the user (clinician) to evaluate whether these factors are medically plausible and applicable to the patient. (cdc.gov)
  • What is the value of these techniques for current clinical practice? (ipl.org)
  • Do computerised clinical decision support systems for prescribing change practice? (biomedcentral.com)
  • Care should be taken when selecting and implementing such systems to achieve the goal of improved clinical practice while avoiding potential adverse impacts sometimes associated with the implementation of new technologies in complex healthcare settings. (northwestern.edu)
  • The Dartmouth Institute for Health Policy and Clinical Practice is doing similar research by refining audio and video recordings of physician-patient interactions to improve patient understanding what was discussed during the appointment. (healthjournalism.org)
  • On the other hand, I routinely use CDS systems available outside the EMR as third-party web applications in my practice. (medinfodoc.net)
  • 1 th Hawaii International Conference on System Sciences Clinical Decision Support System for Opioid Substitution Therapy Juha Kemppinen Eksote Lappeenranta, Finland Jukka Korpela Chainalytics Espoo, Finland Kalle Elfvengren Lappeenranta University of Technology Lappeenranta, Finland Jussi Polkko Chainalytics Espoo, Finland Abstract Opioid addiction is a chronic relapsing disorder affecting millions of people worldwide and having significant social and health impacts. (docplayer.net)
  • This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. (bartleby.com)
  • In a perfect world, Clinical decision support systems seem to be the answer to human errors made by physicians and improvement of quality of care for patients. (bartleby.com)
  • The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients' clinical facts. (umbc.edu)
  • Eligibility criteria for selecting studies and methods Randomised or quasi-randomised controlled trials reporting absolute improvements in the percentage of patients receiving care recommended by clinical decision support systems. (bmj.com)
  • This is a single-center, open, non-controlled clinical investigation in 10 patients at the Medical University Graz including a treatment visit (V1)and a follow up visit(V2). (clinicaltrials.gov)
  • The purpose of the present study is to investigate the performance of the already developed and tested algorithm in combination with a newly developed bed-side, touch screen user interface (CS-1 decision support system) in patients at the medical ICU for a period of 72 hours. (clinicaltrials.gov)
  • To investigate the effect of a computer based clinical decision support system and a risk chart on absolute cardiovascular risk, blood pressure, and prescribing of cardiovascular drugs in hypertensive patients. (bmj.com)
  • Patients in the computer based clinical decision support system and chart only groups were no more likely to have cardiovascular risk reduced to below 10% than patients receiving usual care. (bmj.com)
  • Patients in the computer based clinical decision support group were more likely to have a cardiovascular risk≥10% than chart only patients, odds ratio 2.3 (95% confidence interval 1.1 to 4.8). (bmj.com)
  • As a result, CDS systems, from the start, were designed with human factors in mind: how do physicians work, how do they interact with patients, and how do they use the information to deliver that treatment? (consumerelectronicsnet.com)
  • Introduction Systemic inflammatory response syndrome (SIRS) is one of the most critical indicators determining the clinical outcome of paediatric intensive care patients. (bmj.com)
  • in making clinical decisions for their patients. (springermedizin.de)
  • We performed a retrospective cohort study of patients who underwent colonoscopy with polypectomy at a safety-net healthcare system before (n=1,822) and after (n=1,320) implementation of CoRS in December 2013. (jnccn.org)
  • A prior study at Parkland Health and Hospital System, the sole safety-net healthcare system for Dallas County, demonstrated guideline-adherent surveillance intervals in 77.4% of patients who underwent a polypectomy during colonoscopy. (jnccn.org)
  • When there is more than one reasonable healthcare option, decision-making involves weighing the benefits and harms of the options, often with scientific uncertainty, and the preferences of the patients. (biomedcentral.com)
  • These systems have improved the quality of care services by speeding-up the diagnosis process with accuracy, and allowing caregivers to monitor patients remotely through the use of WBS, respectively. (scirp.org)
  • However, these systems' accuracy and efficiency are dependent on patients' health information, which must be inevitably shared over the network, thus exposing them to cyber-attacks. (scirp.org)
  • The former was based on decision tree classifier that is used to diagnose patients with new symptoms without disclosing patients' records. (scirp.org)
  • In this study, we explore different healthcare systems to design a model that would enhance the medical care services provided to patients while preserving the privacy of their PHR. (scirp.org)
  • The most consistently effective approaches used system-initiated advice to fine-tune existing therapy by making recommendations to improve patient safety, adjust the dose, duration or form of prescribed drugs or increase the laboratory testing rates for patients on long-term therapy. (biomedcentral.com)
  • The aim of all this work is to develop tools for learning and understanding cardiac and cerebrovascular physiology as well as pathology, generating research questions and developing clinical decision support systems useful for intensive care unit patients. (unibo.it)
  • We designed a decision support tool to automatically generate discharge recommendations for COPD patients based on the Global Initiative for Chronic Obstructive Lung Disease ( GOLD ) report . (bvsalud.org)
  • Decision -support tools can significantly improve adherence to guidelines among patients discharged after hospitalization due to Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) and potentially improve their clinical course . (bvsalud.org)
  • Decision support applications can aid in early detection of patients at risk of deterioration and foster prompt intervention. (philips.com)
  • The report finds that Indian hospitals are quickly adapting information systems for the automation of their departments, enabling a digitalization of records for both hospitals and patients. (indiamedtoday.com)
  • Develop a patient-reported, electronic health record (EHR)-integrated system to actively monitor the safety and effectiveness of treatment for patients taking Food and Drug Administration-approved medications for one of four common chronic conditions (diabetes, hypertension, insomnia, depression), with integrated management support by a pharmacist. (ahrq.gov)
  • The API will allow advocacy and patient groups, cancer centers and researchers to build apps and tools to help patients find potentially suitable clinical trials. (healthjournalism.org)
  • Explore various types of tools, guides, and success stories that can help you support your health care team and patients in hypertension control. (cdc.gov)
  • They knew that their doctors believed an online clinical decision support system available at the point of care was now preferable to traditional methods, such as journal subscriptions, for making informed decisions when caring for patients. (uptodate.com)
  • UpToDate's easily accessible, peerreviewed knowledge gives me more confidence in clinical management of patients, especially in grey areas of research. (uptodate.com)
  • An electronic nose based on chemo-resistive sensors has been employed to identify in vitro 13 bacterial clinical isolates, collected from patients diagnosed with urinary tract infections, gastrointestinal and respiratory infections in a Public Health Laboratory environment. (westminster.ac.uk)
  • Early intervention with antibiotics and steroids can prevent admissions, but it can be difficult for patients to recognize the early signs of exacerbation and to access timely clinical care. (mendeley.com)
  • The support system also enables detection and helps in diagnosis of a prevailing diseases depending on the history of the patient. (openpr.com)
  • It is a part of clinical knowledge management technologies that supports the clinical process and use of knowledge, from diagnosis and investigation through treatment and long-term care. (openpr.com)
  • Physicians use these systems at point of care to help them as they are dealing with a patient, with the timing of use being either pre-diagnosis, during diagnosis, or post diagnosis. (wikipedia.org)
  • Clinical decision support system is a computer software, which is designed to assist physicians and other health professionals with decision making tasks, as determining diagnosis of patient data. (slideserve.com)
  • The advantages of clinical decision support system include not only improving diagnosis accuracy but also reducing diagnosis time. (ipl.org)
  • A diagnosis, in the sense of diagnostic procedure, can be regarded as an attempt at classification of an individual's condition into separate and distinct categories that allow medical decisions about treatment and prognosis to be made. (wikipedia.org)
  • It generally relies on computer software designed to assist physicians and other health professionals with decision-making tasks, such as when to apply a particular diagnosis, further specific tests or treatments. (pharmaceuticalintelligence.com)
  • The use of computerized clinical decision support systems may improve the diagnosis and ongoing management of chronic diseases, which requires recurrent visits to multiple health professionals, disease and medication monitoring and modification of patient behavior. (biomedcentral.com)
  • The Internet has evolved as a potentially useful tool for guideline education, dissemination, and implementation because of its open standards and its ability to provide concise, relevant clinical information at the location and time of need. (jmir.org)
  • Contributors AW was responsible for design and implementation of the presented clinical decision-support system and the outline of the study protocol, and has drafted the manuscript. (bmj.com)
  • The goal of this study was to characterize guideline adherence of surveillance recommendations after implementation of an electronic medical record (EMR)-based Colonoscopy Pathology Reporting and Clinical Decision Support System (CoRS). (jnccn.org)
  • However, the significant investments do not consistently result in value for money due to content, context, system and implementation issues. (biomedcentral.com)
  • The Guideline Implementation with Decision Support (GUIDES) project aims to improve the impact of CCDSS through optimised implementation based on high-quality evidence-based recommendations. (biomedcentral.com)
  • Dexheimer JW, Abramo TJ, Arnold DH, Johnson K, Shyr Y, Ye F, Fan KH, Patel N, Aronsky D. Implementation and evaluation of an integrated computerized asthma management system in a pediatric emergency department: a randomized clinical trial. (uams.edu)
  • In this work, we 1) identify challenges and barriers of the implementation of PGx-CDS in clinical settings, 2) develop a new design approach to CDS with functional characteristics that can improve the adoption of pharmacogenomics guidelines and thus patient safety, and 3) create design guidelines and recommendations for such PGx-CDS tools. (cdc.gov)
  • Future implementation should build on effective approaches including the use of system-initiated advice to address safety issues and improve the monitoring of therapy. (biomedcentral.com)
  • METHODS: The experimental arm was involved in a multi-faceted tailored implementation intervention of a clinical decision support system, including interactive education, reminders, monitoring, feedback and leadership. (ru.nl)
  • This has necessitated the implementation of robust clinical decision support systems in Indian hospitals. (indiamedtoday.com)
  • The purpose of this health information technology (IT) CERT was to leverage health IT for three independent research projects focused on: 1) new technologies to improve pharmacosurveillance, 2) using new sources of data from clinical decision support (CDS) to identify physician-level variation, and 3) examining human factors principles in the design and implementation of medication-related CDS. (ahrq.gov)
  • The use and sophistication of these systems have grown markedly over the past decade, due to widespread implementation of electronic health records and advances in clinical informatics. (ahrq.gov)
  • A standardized, methodological implementation must be applied to developed artificial intelligence systems with the ability to integrate data and information into clinically relevant knowledge. (biomedcentral.com)
  • Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research. (annals.org)
  • On average, one-quarter of drug alerts received by a primary care clinician, and one-third of clinical reminders, were repeats for the same patient within the same year. (nih.gov)
  • and (b) the system facilitates an interaction with the clinician. (cdc.gov)
  • Current work focuses on understanding burnout and clinician well-being as system-level concerns that can influence safety, quality, and organizational performance. (ahrq.gov)
  • Presenting best practices recommendations and key supporting medical data to the clinician at the point of care is the probably most important single intervention for achieving the improvements in health care quality and cost-effectiveness that we all strive for. (medinfodoc.net)
  • An expert clinician assisted by a resident manually reviewed the recommendation made by the system and verified whether the recommendations were as per the ASCCP guidelines. (elsevier.com)
  • Evidence-based clinical tests related to CVD. (cdc.gov)
  • Proposed Solution Develop a Web-based Clinical Decision Support System that will integrate genomic, metabolic associations and data mining correlative evidence gathered by computational algorithms for prediction and knowledge discovery and will be invoked on demand at the point of care. (slideserve.com)
  • It covers the primary areas of CDS systems subdivided into the primary areas in which CDS systems are currently being applied: clinical knowledge and medical evidence, healthcare analytics, workflow solutions, EHRs, medical devices, data support, clinical surveillance, and CDS platforms. (consumerelectronicsnet.com)
  • Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review. (physiciansweekly.com)
  • This research aimed to identify evidence-based study designs and outcome measures to determine the clinical effectiveness of clinical decision support systems in the detection and prediction of hemodynamic instability, respiratory distress, and infection within critical care settings. (physiciansweekly.com)
  • Doctors at the Pennine Acute Hospitals NHS Trust, which includes five hospitals in Greater Manchester, UK, wanted a clinical resource to enable evidence-based decision making at the point of care. (uptodate.com)
  • Physicians were quickly able to find the best evidence-based clinical information: supporting their patient care, increasing their knowledge and keeping them informed of evolving management recommendations. (uptodate.com)
  • Clinical Decision Support (CDS) have been shown to be a tool that can improve the quality of medical services by providing to physicians evidence-based medicine information at the point-of-care. (clinfowiki.org)
  • Textbooks: Hunink, H. and Glasziou, P. (2009) Decision Making in Health and Medicine: Integrating Evidence and Values (7th ed. (medinfodoc.net)
  • Evidence supports the effectiveness of CCDSS in the care of people with asthma. (biomedcentral.com)
  • Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. (biomedcentral.com)
  • Clinical informatics is the application of informatics and information technology to support healthcare delivery services. (biomedcentral.com)
  • Recognition of the importance of applying digitized data and information for patient care has spurred the first class of physicians to become board-certified in the newly-created subspecialty of clinical informatics [ 2 ]. (biomedcentral.com)
  • Clinical Decision Support (CDS) was my favorite class despite requiring the most work of any course in the medical informatics degree program. (medinfodoc.net)
  • Dr. Robb Cundick trained with Dr. Homer Warner in the Department of Medical Biophysics and Computing (now the Department of Medical Informatics) at the University of Utah Medical Center LDS Hospital in the 1970s when that department invented some of the very first electronic medical record and clinical decision support systems in the United States. (medinfodoc.net)
  • Applied clinical informatics , 9 (1), 62-71. (elsevier.com)
  • This report describes The Community Guide and the work of the Community Preventive Services Task Force, including how they engage partners, select topics, prioritize intervention approaches, conduct systematic reviews, make decisions about findings, and disseminate information about what works to promote health. (thecommunityguide.org)
  • OBJECTIVES: To determine whether a multi-faceted tailored strategy to implement an electronic clinical decision support system for pressure ulcer prevention improves adherence to recommendations for pressure ulcer prevention in nursing homes. (ru.nl)
  • The control arm received a hard-copy of the pressure ulcer prevention protocol, supported by standardized 30min group lecture. (ru.nl)
  • Download and share the strategies presented in this Best Practices Guide that focus on how to use clinical decision support systems in cardiovascular prevention. (cdc.gov)
  • Territory Stories: Integrated Clinical Decision Support Systems Promote Absolute Cardiovascular Risk Assessment: An Important Primary Prevention Measure in Aboriginal and Torres Strait Islander Primary Health Care. (nt.gov.au)
  • The leading players in the global healthcare information systems market are Cerner Corporation, McKesson, and All Scripts. (openpr.com)
  • A clinical decision support system has been defined as an "active knowledge systems, which use two or more items of patient data to generate case-specific advice. (wikipedia.org)
  • Besides the significant technological breakthroughs, including the availability of enterprise-level database management systems (DBMS) and health data standards such as ICD and HL7, new legislation and advocacy by federal funding agencies also played a key role. (bartleby.com)
  • In the United States, ICD-9-CM (ICD 9th Revision, Clinical Modification) is widely used to codify diagnostic data for administrative (such as billing) purposes. (bartleby.com)
  • Understanding Clinical Decision Support System, Its Origin and the Changing Face The Era has begun where a tremendous amount of data and silos of information are being generated. (bartleby.com)
  • This chapter discusses a variety of data mining techniques that have been used to develop clinical decision support systems, including decision trees, neural networks, logistic regression, nearest neighbor classifiers. (springer.com)
  • Mortality after noncardiac surgery: prediction from administrative versus clinical data. (springer.com)
  • Zhuang ZY, Churilov L, Burstein F, Sikaris K. Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners. (springer.com)
  • The use of data mining approaches in medicine and medical science has become necessary especially with the evolution of these approaches and their contributions medical decision support. (igi-global.com)
  • Rules were extracted using a data mining technique and validated by experts, and the fuzzy expert system was used to handle the uncertainty present in the medical field. (igi-global.com)
  • These systems are defined as 'Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care' (MeSH) These are integrated with so-called Electronic Health Records (EHR), which have been developed by companies and National Governmental Institutes, and are used to register and present the patient medical data. (igi-global.com)
  • In a sense, any computer system that deals with clinical data or medical knowledge is intended to provide decision support. (slideserve.com)
  • Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. (frontiersin.org)
  • In this paper we highlight how "Big Data enabled" integrated data collections may support clinical decision-making together with biomedical research. (frontiersin.org)
  • The availability of new data sources is thus leading to the development of a novel model of healthcare, able to fully exploit the potentials of data-driven decision making. (frontiersin.org)
  • incidence of medication errors, rising prominence and usage of Big Data and m-Health tools, growing adoption of cloud computing in healthcare and prevalence of chronic diseases are some of the factors driving the growth of the clinical decision support systems market. (medindia.net)
  • However, reluctance amongst traditional healthcare providers to adopt the solutions, requirement of high investments for supporting IT infrastructure, data security concerns related to cloud-based systems and lack of interoperability are some of the factors expected to restrain the growth of this market. (medindia.net)
  • Leumit Health Services, an health maintenance organization operating in Israel, will incorporate a web-based, decision support system for handling drug-drug interactions and drug information, termed DDI+ reinforced with patient specific pharmacogenetic data. (clinicaltrials.gov)
  • Clinical data and genomic data not available in most cases and integration with the available is a challenge. (slideserve.com)
  • The knowledge base of this system was constructed by using real patient data and expert opinion. (aau.dk)
  • Additionally, as the Internet of Things (IoT) enables a vast new pool of medical telemetry, CDS will be the key to integrating those new data sources into the clinical workflow. (consumerelectronicsnet.com)
  • it represents the second step towards our vision of cross-institutional and data-driven decision-support for intensive care environments (CADDIE). (bmj.com)
  • Quippe Clinical Lens identifies and interprets disorganized, complex arrays of medical data and transforms that data into actionable information and clinical insights - all within the physician's workflow. (medicomp.com)
  • A computerised clinical decision support system (CCDSS) is a technology that uses patient-specific data to provide relevant medical knowledge at the point of care. (biomedcentral.com)
  • The corresponding information from the knowledge data base (all kind of documents like publications, guidelines, reference images etc.) can be displayed for the support of the clinical decision process. (docplayer.net)
  • Vendors are focusing on developing their own analytical platforms for improved patient data management and quality patient care systems in order to offer customized solutions to healthcare payers as well as providers, globally, notes Transparency Market Research in a new study. (openpr.com)
  • So you have virtually gap-free patient data to make informed clinical decisions. (philips.com)
  • With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. (elsevier.com)
  • Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. (elsevier.com)
  • Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. (elsevier.com)
  • The system improved to a 95% match after a more rigorous entry of patient data. (pharmaceuticalintelligence.com)
  • To accelerate biomedical research and reduce healthcare costs, clinical and bioinformatics systems must employ common data elements to create structured annotation forms enabling laboratories and clinics to capture sharable data in real time. (biomedcentral.com)
  • New scientific knowledge and clinical discoveries can be shared via integrated knowledge environments defined by flexible data models and extensive use of standards, ontologies, vocabularies, and thesauri. (biomedcentral.com)
  • In the clinical setting, aggregated knowledge must be displayed in user-friendly formats so that physicians, non-technical laboratory personnel, nurses, data/research coordinators, and end-users can enter data, access information, and understand the output. (biomedcentral.com)
  • The effort to connect astronomical numbers of data points, including '-omics'-based molecular data, individual genome sequences, experimental data, patient clinical phenotypes, and follow-up data is a monumental task. (biomedcentral.com)
  • Ensuring data security and protection of patient rights while simultaneously facilitating standardization is paramount to maintaining public support. (biomedcentral.com)
  • Ultimately, the integration of bioinformatics and clinical data in a clinical decision support system promises precision medicine and cost effective and personalized patient care. (biomedcentral.com)
  • Recognizing the opportunity to improve care and collect data on the TCNY defined clinical areas, PCIP, in collaboration with our selected EHR vendor, developed the corresponding TCNY quality measures for use at the point of care. (beds.ac.uk)
  • We looked at approaches to knowledge representation, the use of machine reasoning to model human clinical decision-making, data warehousing, and data mining. (medinfodoc.net)
  • We also learned the importance of objectively evaluating the functioning and effectiveness of every CDS intervention, using that data along with user feedback to deploy an improved system, and then repeating that process in an iterative cycle of improvements. (medinfodoc.net)
  • Scientifically based clinical guidelines have become increasingly used to educate physicians and improve quality of care. (jmir.org)
  • Our objective was to develop and test decision support systems (DSS) based on clinical guidelines which could be delivered over the Internet for two disease models: asthma and tuberculosis (TB) preventive therapy. (jmir.org)
  • Both DSS's are published on the Internet and operate through a decision algorithm developed from the parent guidelines with clinical information provided by the user at the point of clinical care. (jmir.org)
  • We have developed two clinical DSS's based on national guidelines and published them on the Internet. (jmir.org)
  • Medical guidelines and best practises are used in medicine to increase the quality of the health-care delivery system. (igi-global.com)
  • The two-rule model contains plausible IFI criteria, but it has not been formally evaluated, and they are not currently actual clinical guidelines. (nih.gov)
  • However, the system is complex as it is based on multiple guidelines and free-text processing. (pubmedcentralcanada.ca)
  • 10 However, the system is susceptible to failures due to its complexity as it is based on multiple guidelines and free-text processing. (pubmedcentralcanada.ca)
  • The core clinical protocol ontology (C2PO): A realist ontology for representing the recommendations within clinical guidelines. (uams.edu)
  • This support was fueled by new guidelines to incorporate genetics for optimizing drug dosage and reducing adverse events. (cdc.gov)
  • Clinical decision-support systems are computer-based information systems designed to assist healthcare providers in implementing clinical guidelines at the point of care. (coprevent.org)
  • It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. (bartleby.com)
  • It is designed to make clinical decisions about patient care. (bartleby.com)
  • From 'De Dombal's system for acute abdominal pain' to ''IBM Watson Health'', this health information technology has been a key for the perfection and improvement of health care systems around the world. (bartleby.com)
  • Conclusions Most interventions with clinical decision support systems appear to achieve small to moderate improvements in targeted processes of care, a finding confirmed by the small changes in clinical endpoints found in studies that reported them. (bmj.com)
  • The clinical decision support system market is also segmented into application such as drug databases, care plans, diagnostic decision support, disease reference and others. (bccresearch.com)
  • Such integration may allow depicting a novel view of patient's care processes and of single patient's behaviors taking into account the multifaceted aspects of clinical and chronic care. (frontiersin.org)
  • The computer based clinical decision support system did not confer any benefit in absolute risk reduction or blood pressure control and requires further development and evaluation before use in clinical care can be recommended. (bmj.com)
  • 5 They have been shown to enhance clinical performance in terms of drug dosing and preventive care. (bmj.com)
  • These systems also reduce commission and omission errors and enhance the quality of care. (medindia.net)
  • The investigators hypothesize that implementing such a system will reduce health-care expenditures (e.g., hospital admissions, referrals to ERs, Imaging procedures). (clinicaltrials.gov)
  • AI has the potential to revolutionize health care but these systems are challenging to implement. (sas.com)
  • A clinical decision support system is a tool that can be used to augment a clinician's decision making by integrating large volumes of information and from that, provide recommendations for patient care. (sas.com)
  • This means that AI should integrate with both the existing systems for patient care and the clinician's workflow. (sas.com)
  • Clinical decision support (CDS) systems have emerged as tools providing intelligent decision making to address challenges of critical care. (physiciansweekly.com)
  • Compared with a community intervention alone, a clinical decision support system plus a community intervention reduced antimicrobial use for acute respiratory tract infections in rural primary care settings. (acpjc.org)
  • For correspondence: Dr. M.H. Samore, VA Salt Lake City Health Care System, Salt Lake City, UT, USA. (acpjc.org)
  • Clinical factors are related to access and quality of antenatal care, skilled attendance at delivery, emergency obstetric care services and postnatal care for neonates. (springermedizin.de)
  • Gaps identified in the quality of care (QOC) given to pregnant women and their newborns include poor quality of clinical decision-making by health providers. (springermedizin.de)
  • Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care. (uams.edu)
  • A Web-based clinical decision support system for depression care management. (uams.edu)
  • A medical billing service can improve the efficiency of your billing system, reduce denials, cut down operating costs, boost reimbursements and save valuable time that can be devoted to patient care. (ipl.org)
  • As such, proprietary and locally developed systems have been used to target provider behaviour across a range of clinical circumstances including preventive, acute and chronic care and to target specific test ordering and prescribing practices. (biomedcentral.com)
  • Embi, Peter J. / Clinical decision support systems in the pediatric intensive care unit . (northwestern.edu)
  • 77% of these costs were incurred in the installation phase and included all the activities in preparation for the actual operation of the system for client care. (biomedcentral.com)
  • Philips Patient Monitoring system is designed to help you enhance patient care and improve clinical performance. (philips.com)
  • This can accelerate decision-making by facilitating appropriate responses, whether the call is made from the point of care or another floor, from the road or from home. (philips.com)
  • Read this success story about how health care systems in Orlando and San Diego became Hypertension Control Champions. (cdc.gov)
  • This primer describes stressors relevant to the healthcare response to the COVID-19 pandemic from the perspective of care deliverers and the significant personal toll the pandemic is taking on individuals who work in the healthcare system. (ahrq.gov)
  • Meaningful use of computer systems is now rewarded under the Affordable Care Act. (pharmaceuticalintelligence.com)
  • Computerised interpretation of the fetal heart rate and intelligent decision-support has the potential to deliver this improvement in care. (biomedcentral.com)
  • However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. (mdpi.com)
  • Indeed, significant investment has been made to improve genome sequencing technology and to reduce sequencing costs, making it easier to obtain a patient's WGS for clinical care [ 3 ]. (mdpi.com)
  • The aim of this review was to systematically review randomized controlled trials evaluating the effectiveness of computerized clinical decision systems (CCDSS) in the care of people with asthma and COPD. (biomedcentral.com)
  • The clinical decision support systems market is expected to be challenged by the lack of skilled IT professionals in the healthcare sector.Geographically, North America is expected to account for the largest share of the global clinical decision support systems market in 2016, followed by Europe , Asia-Pacific , and the Rest of the World (RoW). (medindia.net)
  • This prospective study was conducted for one year (August 2015-July 2016) by the Department of Clinical Pharmacy, Aster Medcity. (ijpsonline.com)
  • Global Clinic Decision Support System market is expected to grow at attractive 12.22% from 2016 to 2022. (marketresearch.com)
  • In this report, the Asia-Pacific Clinical Decision Support System market is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022. (bigmarketresearch.com)
  • The National Cancer Institute announced in September 2016 that it had released the beta of an API to make the information on clinical trials (trials.cancer.gov) available to third parties. (healthjournalism.org)
  • SAI Intelligent Systems Conference 2016. (westminster.ac.uk)
  • An article in the Journal of Women's Health outlines ways decision makers can use the CPSTF recommendation for interventions to prevent and reduce intimate partner and sexual violence among youth. (thecommunityguide.org)
  • While early research shows promise, most interventions have been complex and involved additional clinical support rendering interpretation of the impact of telemonitoring alone difficult. (mendeley.com)
  • 3 This rapid uptake reflects the financial incentives in the Health Information Technology for Economic and Clinical Health (HITECH) Act passed in 2009. (bmj.com)
  • A clinical decision-support system is any computer program designed to help health professionals make clinical decisions. (slideserve.com)
  • 3 4 Computer based clinical decision support systems have the advantage of being able to synthesise patient specific information, perform complex evaluations, and present the results to health professionals quickly. (bmj.com)
  • the use of health information technologies and online resources in healthcare boosts clinical decision making by providing access to a wealth of information presented in a timely manner to make the best possible patient-specific decisions as per circumstances. (medindia.net)
  • Supported by the Brian C. Decker Health Information Research Fund and the Medical Research Council of Canada. (annals.org)
  • Dr. Haynes is supported by a National Health Scientist Award from the National Health Research and Development Programme of Health and Welfare Canada. (annals.org)
  • 5 Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD. (nih.gov)
  • Electronic Health Records (EHR) is anticipated to reach US $26.82 billion in 2022 due to huge demand of integrated information systems in the field of healthcare systems. (marketresearch.com)
  • Mainly, the problem arises in the underdeveloped general public health systems, huge expenditure on healthcare systems, inadequate medical training and service delivery. (marketresearch.com)
  • CDS systems, therefore, are much more user-friendly and, because they must interface not only with EHR systems but all manner of health IT systems, they are the logical choice to access most health IT systems. (consumerelectronicsnet.com)
  • Technology has played a major role in achieving these goals, such as clinical decision-support systems and mobile health social networks. (scirp.org)
  • Do, potential and doping, the health-related operations of download clinical decision support systems: theory. (nortekmechanical.ca)
  • Eight public health and clinical professionals have been appointed by the CDC Director to serve five-year terms on the CPSTF, starting in either 2021 or 2022. (thecommunityguide.org)
  • A new blog post features the partnership between The Community Guide and Healthy People 2030 and shows how crosswalks between the sites can inform public health decision making. (thecommunityguide.org)
  • This study aimed at assessing the cost of installing and operating the system in the health centers. (biomedcentral.com)
  • The adoption of these systems is, for the 2018-2025 period, projected to be limited to Tier I cities, and hospitals like AIIMS, Apollo Hospitals, and Max Health. (indiamedtoday.com)
  • As medicine moves into an era of personalized treatment and precision pharmaceuticals, the application of expertise in electronic health/medical record (EHR/EMR) systems and translational research will enhance operating efficiencies for hospitals and reduce costs. (biomedcentral.com)
  • Citation Query A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. (psu.edu)
  • In 2019, innovators at Grady Health System and Emory University constructed a Clinical Decision Support panel to help providers know when it is appropriate to prescribe azithromycin. (carezooming.com)
  • The Asia-Pacific region is anticipated to show a significant growth rate over the next five years in the global clinical decision support system market due to increasing awareness & event programs on healthcare IT. (openpr.com)
  • Increasing incidence of chronic disease among geriatric population around the world, promising pipeline devices and novel therapies, increasing government initiative for investment of funds on healthcare IT firms, rising investments in innovation of clinical decision support system and increasing awareness & event programs on healthcare IT are the major drivers of the global clinical decision support system market. (bccresearch.com)
  • This section of the report also provides market attractiveness analysis, by geography and market share analysis by key players, thus presenting a thorough analysis of the overall competitive scenario in the global clinical decision support system market. (bccresearch.com)
  • The leading players in the global healthcare API market, namely Mulesoft Inc., Apple Inc., Microsoft Corporation, GE Healthcare, Epic Systems Corporation, and Allscripts Healthcare Solutions Inc. held a cumulative share of approximately 67% in the global healthcare API market revenue in 2015. (openpr.com)
  • Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach. (cdc.gov)
  • Current clinical diagnostics are based on biochemical, immunological or microbiological methods. (westminster.ac.uk)
  • I have attached a file combining four individual assignments: choosing and briefly evaluating three guideline sets and three performance measures, giving a brief critique of a paper describing a CDS System, using a decision tree to determine best therapy for a patient with an infected ankle fracture and doing a senstivity analysis on that tree, and using probability revision methods to give clinical perpective on testing for Lyme disease. (medinfodoc.net)
  • As a practicing physician, I remain concerned and disappointed that virtually no CDS is incorporated into our inpatient or outpatient EMR's and that the one system which is available, an adverse drug interaction checker, functions so poorly as to be virtually useless, producing endless alerts that are irrelevant or fail to take into account the patient's full clinical situation. (medinfodoc.net)
  • We performed chart review of individual patient's record to evaluate the performance of the system. (elsevier.com)
  • A model-free ensemble method for class prediction with application to biomedical decision making. (uams.edu)
  • Based on end user, the clinical decision support system treatment market has been segmented into three major categories: hospitals, diagnostic centers, clinics, retail pharmacy and others. (bccresearch.com)
  • We sought to develop combat-related IFI clinical decision support (CDS) tools to assist providers to make treatment decisions both near the point of injury and subsequently at definitive treatment centers. (nih.gov)
  • 5 , 11 - 14 Appropriate surveillance colonoscopy intervals, a focus of healthcare reform in gastroenterology, is one of the Centers for Medicare and Medicaid Services Physician Quality Reporting System measures. (jnccn.org)
  • Objective To report the improvements achieved with clinical decision support systems and examine the heterogeneity from pooling effects across diverse clinical settings and intervention targets. (bmj.com)
  • Detection of any deviation from what is known to be normal, such as can be described in terms of, for example, anatomy (the structure of the human body), physiology (how the body works), pathology (what can go wrong with the anatomy and physiology), psychology (thought and behavior) and human homeostasis (regarding mechanisms to keep body systems in balance). (wikipedia.org)
  • We also describe a system-identification method that improves detection of mental stress by removing respiratory influences on heart rate. (psu.edu)
  • Ocak H. A medical decision support system based on support vector machines and the genetic algorithm for the evaluation of fetal well-being. (springer.com)
  • Clinical and Economic Impact of a Web Based, Electronic Medical Record Interfaced Electronic Decision Support System Incorporating Pharmacogenetic Evaluation for Physicians Intended, Mainly for Drug-drug Interaction. (clinicaltrials.gov)
  • The critical output from this system analysis is the creation of an enterprise reference architecture that illustrates a layered overview of the integration between business processes, software applications, and medical infrastructure. (sas.com)
  • 1 of the annual continuing medical education sessions and 71% used the decision support tools. (acpjc.org)
  • To address this, we developed and implemented an electronic medical record (EMR)-based Colonoscopy Pathology Reporting and Clinical Decision Support System (CoRS) in December 2013. (jnccn.org)
  • Decision Support Systems, Clinical" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings) . (uams.edu)
  • Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. (biomedcentral.com)
  • Commenting on the release of the new report, Mr. Abdul Wahid, Lead Analyst, BIS Research, said, "The clinical decision support systems market is, to a large extent, going to be driven by the urgent need to reduce healthcare costs and the rising number of deaths due to preventable medical errors. (indiamedtoday.com)
  • Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. (elsevier.com)
  • Its role is rapidly evolving toward providing better clinical decision-making by integrating state-of-the-art knowledge with medical record systems [ 1 ]. (biomedcentral.com)
  • We studied the process of reasoning under conditions of uncertainty, Bayes theorem, and the use of decision trees to incorporate patient values into medical decision-making and optimize management strategies. (medinfodoc.net)
  • This report describes a formative evaluation of the system, which is a necessary step to ensure deployment readiness of the system. (pubmedcentralcanada.ca)
  • The crowd-sourcing approach for construction of the reference set, coupled with the expert review of mismatched recommendations, facilitated an effective evaluation and enhancement of the system, by identifying decision scenarios that were missed by the system's developers. (pubmedcentralcanada.ca)
  • We fixed the errors identified in this evaluation that were amenable to correction to further improve the accuracy of the system. (elsevier.com)
  • Meta-regression was used to assess the degree to which the features of clinical decision support systems and study characteristics reduced heterogeneity in effect sizes. (bmj.com)
  • In conclusion, the model is able to reproduce several different pathological conditions characterized by heterogeneity in cerebrovascular haemodynamics and can not only explain generalized results in terms of physiological mechanisms involved, but also, by individualizing parameters, may represent a valuable tool to help with difficult clinical decisions. (unibo.it)
  • Meta-analysis was not conducted because of methodological and clinical heterogeneity. (biomedcentral.com)
  • The benefits offered by clinical decision support systems is driving stakeholders in the healthcare system including key industry players, healthcare providers and governments to take measures to integrate these systems into clinical workflows. (medindia.net)
  • In this work, we proposed a privacy-preserving healthcare system, which is composed of two subsystems. (scirp.org)
  • This essay discusses the history and inception of the Australian Healthcare system, how it is funded through the Government and the public income. (bartleby.com)
  • CUSP is a safety program that combines clinical best practices with an understanding of the science of safety, improved safety culture and an increased focus on teamwork. (ahrq.gov)
  • We tested the effectiveness of each DSS in influencing physician decisions using clinical scenario testing. (jmir.org)
  • North America is expected to dominate the clinical decision support system market in the global arena due to the increasing government initiative for investment of funds on healthcare IT firms, presence of major players in the region and increasing awareness to reduce cost using healthcare IT applications are likely to drive the market in the region. (openpr.com)
  • It has been developed through the activities of the Working Group on Occupational Radiation Protection in Interventional Cardiology (WGIC) as part of the Information System on Occupational Exposure in Medicine, Industry and Research (ISEMIR) project. (iaea.org)
  • We first validated the asthma algorithm by comparing asthma experts' decisions with the decisions reached by nonpulmonary nurses using the computerized DSS. (jmir.org)
  • development and application of a decision support system for assessing asthma under conditions of uncertainty. (aau.dk)
  • Before the beginning of any trial related activities, the relatives of each patient will be asked if the patient has ever mentioned in the past, that he/she does not want do participate in any kind of clinical study. (clinicaltrials.gov)
  • The research study also covers the competitive scenario in these regions.The report also profiles major players in the global clinical decision support system treatment market based on various attributes such as company overview, financial overview, product portfolio, business strategies, and recent developments. (medindia.net)
  • Choosing to participate in a study is an important personal decision. (clinicaltrials.gov)
  • The threshold probability for optimal clinical use of this CDS tool is currently being evaluated in an ongoing clinical utilization study. (nih.gov)
  • What is the clinical case study used in this systems analysis? (sas.com)
  • For this case study, a general clinical workflow starts with the treating physician ordering a CT scan. (sas.com)
  • This study focuses on the US clinical decision support system market. (consumerelectronicsnet.com)
  • TJ provided clinical expertise for the use case and the design of the underlying knowledge model, leaded the proof-of-concept study and co-drafted the manuscript. (bmj.com)
  • JOURNAL CLUB: Radiologists' Perceptions of Computerized Decision Support: A Focus Group Study From the Medicare Imaging Demonstration Project. (uams.edu)
  • Based on the results, we believe the model would be useful to teach complex relationships of brain haemodynamics and study clinical research questions such as the optimal head-up position, the effects of intracranial haemorrhage on cerebral haemodynamics, as well as the best CO2 concentration to reach the optimal compromise between intracranial pressure and perfusion. (unibo.it)
  • This was a retrospective clinical study in the chronic pain unit at the university hospital of Regensburg in Germany. (biomedcentral.com)
  • This reviews the clinical benefits of pharmacist driven electronic prescription audit process in monitoring and detecting prescription errors before it reaches the patient. (ijpsonline.com)
  • During the audit process, each prescription generated through Computerized Physician Order Entry will appear immediately in an electronic prescription audit tool which is integrated with a clinical decision support system. (ijpsonline.com)
  • Clinical decision support model for prevailing diseases to improve human life survivability. (springer.com)
  • Clinical Decision Support System: A Pragmatic Tool to Improve Acute Exacerbation of COPD Discharge Recommendations. (bvsalud.org)
  • Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications. (thefreelibrary.com)
  • The primary algorithms include fc-nearest neighbors based algorithms (fc-NN), artificial neural networks based algorithms (ANN), decision trees based algorithms (DTs), fuzzy logic based algorithms (FL), and the extension of these algorithms by merging them. (thefreelibrary.com)
  • c) Decision Tree Based Algorithms. (thefreelibrary.com)
  • Overall, a variety of Machine Learning algorithms were utilized frequently, particularly support vector machines, boosting techniques, random forest classifiers and neural networks. (physiciansweekly.com)
  • An expression language such as GELLO or CQL (Clinical Quality Language) is needed for expressing knowledge artifacts in a computable manner. (wikipedia.org)
  • Based on usage based, the market has been segmented into knowledge-based systems, expert laboratory information system, and machine learning systems. (bccresearch.com)
  • The system can handle various types of uncertainty in knowledge representation and inference procedures. (aau.dk)
  • We also believe that in the near future, these systems will use tablets and other mobile devices to enhance the uptake of advanced tools like telemedicine and virtual meeting systems for knowledge sharing. (indiamedtoday.com)
  • DUBLIN-(BUSINESS WIRE)-The "US Clinical Decision Support Systems Market, Forecast to 2024" report has been added to ResearchAndMarkets.com's offering. (consumerelectronicsnet.com)
  • Having well established EHRs as well as clinical workflows are important factors for a successful introduction of CDS. (clinfowiki.org)
  • The report includes the profiles of key clinical decision support system manufacturing companies along with their SWOT analysis and market strategies. (openpr.com)
  • The report also profiles major players in the global clinical decision support system treatment market based on various attributes such as company overview, financial overview, product portfolio, business strategies, and recent developments. (bccresearch.com)
  • The report analyzes the clinical decision support systems market, by component, delivery mode, product, type, model, user interactivity, and application- Product Development/Innovation: Detailed insights on research and development activities and new product launches in the clinical decision support systems market- Market Development: Comprehensive information about the lucrative emerging markets. (medindia.net)
  • Thus,it is essential to have efficient tools for diagnostics and functional clinical protocols ready. (europa.eu)
  • Unlike EHR systems that are primarily a way for physicians to document treatment protocols, CDS applications were designed to provide support for physicians during the course of their patient interactions. (consumerelectronicsnet.com)
  • Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. (nih.gov)
  • A well-performed systems analysis can make all the difference for a successful adoption of a clinical decision support system that incorporates AI. (sas.com)
  • Recommendations are formulated for the development and successful adoption of CDS systems. (physiciansweekly.com)