Benchmarking. Medical search

Method of measuring performance against established standards of best practice.

Hospital department which administers and provides pathology services.

Norms, criteria, standards, and other direct qualitative and quantitative measures used in determining the quality of health care.

The hospital department responsible for the administration and provision of diagnostic and therapeutic services for the cancer patient.

A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.

Sequential operating programs and data which instruct the functioning of a digital computer.

Procedures, strategies, and theories of planning.

The use of severity-of-illness measures, such as age, to estimate the risk (measurable or predictable chance of loss, injury or death) to which a patient is subject before receiving some health care intervention. This adjustment allows comparison of performance and quality across organizations, practitioners, and communities. (from JCAHO, Lexikon, 1994)

Activities and programs intended to assure or improve the quality of care in either a defined medical setting or a program. The concept includes the assessment or evaluation of the quality of care; identification of problems or shortcomings in the delivery of care; designing activities to overcome these deficiencies; and follow-up monitoring to ensure effectiveness of corrective steps.

The attainment or process of attaining a new level of performance or quality.

My apologies, there seems to be a misunderstanding - "Library Associations" is not a medical term; it refers to organizations that promote the interests of libraries and library professionals, often advocating for issues such as funding, intellectual freedom, and professional development, which can include medical or health science librarians.

An examination, review and verification of all financial accounts.

A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.

The act of testing the software for compliance with a standard.

Institutions specializing in the care of cancer patients.

The capacity of an organization, institution, or business to produce desired results with a minimum expenditure of energy, time, money, personnel, materiel, etc.

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.

Providing for the full range of personal health services for diagnosis, treatment, follow-up and rehabilitation of patients.

Institutions with an organized medical staff which provide medical care to patients.

A subspecialty of pathology applied to the solution of clinical problems, especially the use of laboratory methods in clinical diagnosis. (Dorland, 28th ed.)

A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.

Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.

Management of the internal organization of the hospital.

Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.

The application of industrial management practice to systematically maintain and improve organization-wide performance. Effectiveness and success are determined and assessed by quantitative quality measures.

The purposes, missions, and goals of an individual organization or its units, established through administrative processes. It includes an organization's long-range plans and administrative philosophy.

The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.

The interaction of persons or groups of persons representing various nations in the pursuit of a common goal or interest.

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.

Educational institutions for individuals specializing in the field of pharmacy.

I'm sorry for any confusion, but "Germany" is a country and not a medical term or concept. Therefore, it doesn't have a medical definition. It is located in Central Europe and is known for its advanced medical research and facilities.

Compliance with a set of standards defined by non-governmental organizations. Certification is applied for by individuals on a voluntary basis and represents a professional status when achieved, e.g., certification for a medical specialty.

Computer-based representation of physical systems and phenomena such as chemical processes.

The term "United States" in a medical context often refers to the country where a patient or study participant resides, and is not a medical term per se, but relevant for epidemiological studies, healthcare policies, and understanding differences in disease prevalence, treatment patterns, and health outcomes across various geographic locations.

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.

Research aimed at assessing the quality and effectiveness of health care as measured by the attainment of a specified end result or outcome. Measures include parameters such as improved health, lowered morbidity or mortality, and improvement of abnormal states (such as elevated blood pressure).

A system for classifying patient care by relating common characteristics such as diagnosis, treatment, and age to an expected consumption of hospital resources and length of stay. Its purpose is to provide a framework for specifying case mix and to reduce hospital costs and reimbursements and it forms the cornerstone of the prospective payment system.

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

The portion of an interactive computer program that issues messages to and receives commands from a user.

Customer satisfaction or dissatisfaction with a benefit or service received.

Great Britain is not a medical term, but a geographical name for the largest island in the British Isles, which comprises England, Scotland, and Wales, forming the major part of the United Kingdom.

Evaluation procedures that focus on both the outcome or status (OUTCOMES ASSESSMENT) of the patient at the end of an episode of care - presence of symptoms, level of activity, and mortality; and the process (ASSESSMENT, PROCESS) - what is done for the patient diagnostically and therapeutically.

Statistical measures of utilization and other aspects of the provision of health care services including hospitalization and ambulatory care.

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)

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.

The levels of excellence which characterize the health service or health care provided based on accepted standards of quality.

BAliBASE: a benchmark alignment database for the evaluation of multiple alignment programs. (1/1272)

SUMMARY: BAliBASE is a database of manually refined multiple sequence alignments categorized by core blocks of conservation sequence length, similarity, and the presence of insertions and N/C-terminal extensions. AVAILABILITY: From http://www-igbmc. u-strasbg.fr/BioInfo/BAliBASE/index.html (+info)

Waking the health plan giant: Group Health Cooperative stops counting sheep and starts counting key tobacco indicators. (2/1272)

Implementing a comprehensive approach to decreasing tobacco use in a large health plan requires hard work and commitment on the part of many individuals. We found that major organisational change can be accomplished and sustained. Keys to our success included our decision to remove access barriers to our cessation programmes (including cost); obtaining top leadership buy-in; identifying accountable individuals who owned responsibility for change; measuring key processes and outcomes; and finally keeping at it tenaciously through multiple cycles of improvement. (+info)

Patient waiting times in a physician's office. (3/1272)

This observational study measured waiting times, appointment durations, and scheduling variables of a single family practice physician. Waiting time and appointment duration in four sequential groups of sessions were compared using analysis of variance; each group used different scheduling templates. Groups 1 and 2 used a 15-minute base interval; group 3 used a 20-minute base interval. Observations for group 4 were collected at a different health center using a 15-minute base interval. Scheduling variables were correlated with waiting time using correlation coefficients, and data were collected on 1783 appointments. The best waiting time (mean +/- SD) was 17.33 +/- 19.19 minutes. The mean appointment duration for this group was 17.99 +/- 7.97 minutes. The F statistic comparing the four groups of sessions for waiting times was 34.14 and for appointment duration was 37.37, both of which are significant (P < 0.001). The Spearman correlation coefficient for waiting time with queue was 0.2474 (P < 0.001). The Spearman correlation coefficients for mean waiting time and lateness of starting a session (0.4530), patients per hour (0.3461), and patients per session (0.3674) were all significant (P < 0.001). Both scheduling and patient flow affect patient waiting times. The best schedule would consist of shorter sessions that started on time and were extended to accommodate extra patients rather than adding in patients and crowding the schedule. In addition to reducing the actual waiting times, the perception of waiting can be managed to minimize patient dissatisfaction. (+info)

Experience measuring performance improvement in multiphase picture archiving and communications systems implementations. (4/1272)

When planning a picture archiving and communications system (PACS) implementation and determining which equipment will be implemented in earlier and later phases, collection and analysis of selected data will aid in setting implementation priorities. If baseline data are acquired relative to performance objectives, the same information used for implementation planning can be used to measure performance improvement and outcomes. The main categories of data to choose from are: (1) financial data; (2) productivity data; (3) operational parameters; (4) clinical data; and (5) information about customer satisfaction. In the authors' experience, detailed workflow data have not proved valuable in measuring PACS performance and outcomes. Reviewing only one category of data in planning will not provide adequate basis for targeting operational improvements that will lead to the most significant gains. Quality improvement takes into account all factors in production: human capacity, materials, operating capital and assets. Once we have identified key areas of focus for quality improvement in each phase, we can translate objectives into implementation requirements and finally into detailed functional and performance requirements. Here, Integration Resources reports its experience measuring PACS performance relative to phased implementation strategies for three large medical centers. Each medical center had its own objectives for overcoming image management, physical/geographical, and functional/technical barriers. The report outlines (1) principal financial and nonfinancial measures used as performance indicators; (2) implementation strategies chosen by each of the three medical centers; and (3) the results of those strategies as compared with baseline data. (+info)

The philosophy of benchmark testing a standards-based picture archiving and communications system. (5/1272)

The Department of Defense issued its requirements for a Digital Imaging Network-Picture Archiving and Communications System (DIN-PACS) in a Request for Proposals (RFP) to industry in January 1997, with subsequent contracts being awarded in November 1997 to the Agfa Division of Bayer and IBM Global Government Industry. The Government's technical evaluation process consisted of evaluating a written technical proposal as well as conducting a benchmark test of each proposed system at the vendor's test facility. The purpose of benchmark testing was to evaluate the performance of the fully integrated system in a simulated operational environment. The benchmark test procedures and test equipment were developed through a joint effort between the Government, academic institutions, and private consultants. Herein the authors discuss the resources required and the methods used to benchmark test a standards-based PACS. (+info)

Benchmark testing the Digital Imaging Network-Picture Archiving and Communications System proposal of the Department of Defense. (6/1272)

The Department of Defense issued a Request for Proposal (RFP) for its next generation Picture Archiving and Communications System in January of 1997. The RFP was titled Digital Imaging Network-Picture Archiving and Communications System (DIN-PACS). Benchmark testing of the proposed vendors' systems occurred during the summer of 1997. This article highlights the methods for test material and test system organization, the major areas tested, and conduct of actual testing. Department of Defense and contract personnel wrote test procedures for benchmark testing based on the important features of the DIN-PACS Request for Proposal. Identical testing was performed with each vendor's system. The Digital Imaging and Communications in Medicine (DICOM) standard images used for the Benchmark Testing included all modalities. The images were verified as being DICOM standard compliant by the Mallinckrodt Institute of Radiology, Electronic Radiology Laboratory. The Johns Hopkins University Applied Physics Laboratory prepared the Unix-based server for the DICOM images and operated it during testing. The server was loaded with the images and shipped to each vendor's facility for on-site testing. The Defense Supply Center, Philadelphia (DSCP), the Department of Defense agency managing the DIN-PACS contract, provided representatives at each vendor site to ensure all tests were performed equitably and without bias. Each vendor's system was evaluated in the following nine major areas: DICOM Compliance; System Storage and Archive of Images; Network Performance; Workstation Performance; Radiology Information System Performance; Composite Health Care System/Health Level 7 communications standard Interface Performance; Teleradiology Performance; Quality Control; and Failover Functionality. These major sections were subdivided into workable test procedures and were then scored. A combined score for each section was compiled from this data. The names of the involved vendors and the scoring for each is contract sensitive and therefore can not be discussed. All of the vendors that underwent the benchmark testing did well. There was no one vendor that was markedly superior or inferior. There was a typical bell shaped curve of abilities. Each vendor had their own strong points and weaknesses. A standardized benchmark protocol and testing system for PACS architectures would be of great value to all agencies planning to purchase a PACS. This added information would assure the purchased system meets the needed functional requirements as outlined by the purchasers PACS Request for Proposal. (+info)

The development of a quality information system: a case study of Mexico. (7/1272)

One of the primary obstacles in the implementation of continuous quality improvement (CQI) programmes in developing countries is the lack of timely and appropriate information for decentralized decision-making. The integrated quality information system (QIS) described herein demonstrates Mexico's unique effort to package four separate, yet mutually reinforcing, tools for the generation and use of quality-related information at all levels of the Mexican national health care system. The QIS is one element of the continuous quality improvement programme administered by the Secretariat of Health in Mexico. Mexico's QIS was designed to be flexible and capable of adapting to local needs, while at the same time allowing for the standardization of health care quality assurance indicators, and subsequent ability to measure and compare the quality performance of health facilities nationwide. The flexibility of the system extends to permit the optimal use of available data by health care managers at all levels of the health care system, as well as the generation of new information in important areas often neglected in more traditional information systems. Mexico's QIS consists of four integrated components: 1) a set of client and provider surveys, to assess specific issues in the quality of health services delivered; 2) client and provider national satisfaction surveys; 3) a sentinel health events strategy; and 4) a national Comparative Performance Evaluation System, for use by the Secretariate of Health for the quality assessment of state and provincial health care services (internal benchmarking). The QIS represents another step in Mexico's ongoing effort to use data for effective decision-making in the planning, monitoring and evaluation of services delivered by the national health care system. The design and application of Mexico's QIS provides a model for decentralized decision-making that could prove useful for developing countries, where the effective use of quality indicators is often limited. Further, the system could serve as a mechanism for motivating positive change in the way information is collected and used in the process of ensuring high quality health care service delivery. (+info)

Inter-hospital comparison of mortality rates. (8/1272)

OBJECTIVE: To compare crude and adjusted in-hospital mortality rates after prostatectomy between hospitals using routinely collected hospital discharge data and to illustrate the value and limitations of using comparative mortality rates as a surrogate measure of quality of care. METHODS: Mortality rates for non-teaching hospitals (n = 21) were compared to a single notional group of teaching hospitals. Patients age, disease (comorbidity), length of stay, emergency admission, and hospital location were identified using ICD-9-CM coded Victorian hospital morbidity data from public hospitals collected between 1987/88 and 1994/95. Comparisons between hospitals were based on crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) derived using univariate and multivariate logistic regression. Model fit was evaluated using receiver operating characteristic curve i.e. statistic, Somer's D, Tau-a, and R2. RESULTS: The overall crude mortality rates between hospitals achieved borderline significance (alpha2=31.31; d.f.=21; P=0.06); these differences were no longer significant after adjustment (chi2=25.68; P=0.21). On crude analysis of mortality rates, four hospitals were initially identified as 'low' outlier hospitals; after adjustment, none of these remained outside the 95% CI, whereas a new hospital emerged as a 'high' outlier (OR=4.56; P= 0.05). The adjusted ORs between hospitals compared to the reference varied from 0.21 to 5.54, ratio = 26.38. The model provided a good fit to the data (c=0.89; Somer's D= (0.78; Tau-a = 0.013; R2= 0.24). CONCLUSIONS: Regression adjustment of routinely collected data on prostatectomy from the Victorian Inpatient Minimum Database reduced variance associated with age and correlates of illness severity. Reduction of confounding in this way is a move in the direction of exploring differences in quality of care between hospitals. Collection of such information over time, together with refinement of data collection would provide indicators of change in quality of care that could be explored in more detail as appropriate in the clinical setting. (+info)

Benchmarking in the medical context refers to the process of comparing healthcare services, practices, or outcomes against a widely recognized standard or within best practice recommendations, with the aim of identifying areas for improvement and implementing changes to enhance the quality and efficiency of care. This can involve comparing data on various metrics such as patient satisfaction, clinical outcomes, costs, and safety measures. The goal is to continuously monitor and improve the quality of healthcare services provided to patients.

A Pathology Department in a hospital is a division that is responsible for the examination and diagnosis of diseases through the laboratory analysis of tissue, fluid, and other samples. It plays a crucial role in providing accurate diagnoses, treatment planning, and monitoring of patients' health statuses. The department is typically staffed by pathologists (physicians who specialize in interpreting medical tests and diagnosing diseases), as well as laboratory technologists, technicians, and assistants.

The Pathology Department provides various services, including:

1. Anatomical Pathology - Examination of tissue specimens to identify abnormalities, such as cancerous growths or other diseases. This includes surgical pathology, cytopathology (examining individual cells), and autopsy pathology.
2. Clinical Pathology - Analysis of bodily fluids, such as blood, urine, and cerebrospinal fluid, to assess chemical, hematological, immunological, and microbiological aspects. This includes hematology (study of blood cells), clinical chemistry (analysis of body chemicals), immunopathology (study of immune system disorders), and microbiology (identification and classification of bacteria, viruses, fungi, and parasites).
3. Molecular Pathology - Analysis of DNA, RNA, and proteins to identify genetic mutations or abnormalities that contribute to diseases, particularly cancer. This information can help guide targeted therapies and personalized treatment plans.
4. Forensic Pathology - Examination of bodies to determine the cause and manner of death in cases of suspected criminal activity, accidents, or other suspicious circumstances.

The Pathology Department's work is essential for providing accurate diagnoses, determining appropriate treatments, monitoring disease progression, and conducting medical research.

Healthcare Quality Indicators (QIs) are measurable elements that can be used to assess the quality of healthcare services and outcomes. They are often based on evidence-based practices and guidelines, and are designed to help healthcare providers monitor and improve the quality of care they deliver to their patients. QIs may focus on various aspects of healthcare, such as patient safety, clinical effectiveness, patient-centeredness, timeliness, and efficiency. Examples of QIs include measures such as rates of hospital-acquired infections, adherence to recommended treatments for specific conditions, and patient satisfaction scores. By tracking these indicators over time, healthcare organizations can identify areas where they need to improve, make changes to their processes and practices, and ultimately provide better care to their patients.

An Oncology Service in a hospital refers to the specialized department or unit that provides comprehensive cancer care and treatment. It is typically staffed with various healthcare professionals such as medical oncologists, radiation oncologists, surgical oncologists, oncology nurses, radiologists, pathologists, social workers, and psychologists who work together to provide a multidisciplinary approach to cancer diagnosis, treatment, and follow-up care.

The oncology service may offer various treatments such as chemotherapy, radiation therapy, immunotherapy, hormone therapy, and surgery, depending on the type and stage of cancer. They also provide supportive care services like pain management, nutritional support, and rehabilitation to help patients manage symptoms and improve their quality of life during and after treatment.

Overall, an Oncology Service in a hospital is dedicated to providing compassionate and evidence-based cancer care to patients and their families throughout the entire cancer journey.

An algorithm is not a medical term, but rather a concept from computer science and mathematics. In the context of medicine, algorithms are often used to describe step-by-step procedures for diagnosing or managing medical conditions. These procedures typically involve a series of rules or decision points that help healthcare professionals make informed decisions about patient care.

For example, an algorithm for diagnosing a particular type of heart disease might involve taking a patient's medical history, performing a physical exam, ordering certain diagnostic tests, and interpreting the results in a specific way. By following this algorithm, healthcare professionals can ensure that they are using a consistent and evidence-based approach to making a diagnosis.

Algorithms can also be used to guide treatment decisions. For instance, an algorithm for managing diabetes might involve setting target blood sugar levels, recommending certain medications or lifestyle changes based on the patient's individual needs, and monitoring the patient's response to treatment over time.

Overall, algorithms are valuable tools in medicine because they help standardize clinical decision-making and ensure that patients receive high-quality care based on the latest scientific evidence.

I am not aware of a widely accepted medical definition for the term "software," as it is more commonly used in the context of computer science and technology. Software refers to programs, data, and instructions that are used by computers to perform various tasks. It does not have direct relevance to medical fields such as anatomy, physiology, or clinical practice. If you have any questions related to medicine or healthcare, I would be happy to try to help with those instead!

I'm happy to help, but I must clarify that "planning techniques" is not a medical term per se. However, in the context of healthcare and medicine, planning techniques can refer to various methods and approaches used to organize, coordinate, and implement care plans for patients. These techniques are often utilized by healthcare professionals, such as doctors, nurses, and social workers, to ensure that patients receive high-quality, evidence-based care that meets their individual needs and goals.

Here are some examples of planning techniques commonly used in healthcare:

1. Advance Care Planning (ACP): A process that helps individuals plan for future medical care in the event they become unable to make decisions for themselves. This can include creating an advance directive, such as a living will or healthcare power of attorney.
2. Goal-Setting: A collaborative process between patients and healthcare providers to establish specific, measurable, achievable, relevant, and time-bound (SMART) goals for treatment and care.
3. Care Mapping: A visual tool used to map out a patient's care plan, including their medical history, diagnoses, treatments, and support needs. This can help healthcare providers coordinate care and ensure that all team members are on the same page.
4. Root Cause Analysis (RCA): A problem-solving technique used to identify the underlying causes of medical errors or adverse events, with the goal of preventing similar incidents from occurring in the future.
5. Failure Modes and Effects Analysis (FMEA): A proactive risk assessment tool used to identify potential failures in a system or process, and to develop strategies to mitigate those risks.
6. Plan-Do-Study-Act (PDSA) Cycle: A continuous quality improvement technique that involves planning a change, implementing the change, studying its effects, and then acting on the results to make further improvements.

These are just a few examples of the many planning techniques used in healthcare. The specific methods and approaches used will depend on the individual patient's needs, as well as the context and resources available within the healthcare system.

Risk adjustment is a statistical method used in healthcare financing and delivery to account for differences in the health status and expected healthcare costs among groups of enrollees. It is a process that modifies payment rates or capitation amounts based on the relative risk of each enrollee, as measured by demographic factors such as age, sex, and chronic medical conditions. The goal of risk adjustment is to create a more level playing field for healthcare providers and insurers by reducing the financial impact of serving patients who are sicker or have greater healthcare needs. This allows for a more fair comparison of performance and payment across different populations and helps to ensure that resources are distributed equitably.

Quality Assurance in the context of healthcare refers to a systematic approach and set of activities designed to ensure that health care services and products consistently meet predetermined standards of quality and safety. It includes all the policies, procedures, and processes that are put in place to monitor, assess, and improve the quality of healthcare delivery.

The goal of quality assurance is to minimize variability in clinical practice, reduce medical errors, and ensure that patients receive evidence-based care that is safe, effective, timely, patient-centered, and equitable. Quality assurance activities may include:

1. Establishing standards of care based on best practices and clinical guidelines.
2. Developing and implementing policies and procedures to ensure compliance with these standards.
3. Providing education and training to healthcare professionals to improve their knowledge and skills.
4. Conducting audits, reviews, and evaluations of healthcare services and processes to identify areas for improvement.
5. Implementing corrective actions to address identified issues and prevent their recurrence.
6. Monitoring and measuring outcomes to evaluate the effectiveness of quality improvement initiatives.

Quality assurance is an ongoing process that requires continuous evaluation and improvement to ensure that healthcare delivery remains safe, effective, and patient-centered.

Quality improvement (QI) in a healthcare setting is a systematic and continuous approach to improving patient care and outcomes by identifying and addressing gaps or deficiencies in care processes, protocols, and systems. It involves the use of evidence-based practices, data analysis, and performance measurement to drive changes that lead to improvements in the quality, safety, and efficiency of healthcare services.

QI aims to reduce variations in practice, eliminate errors, prevent harm, and ensure that patients receive the right care at the right time. It is a collaborative process that involves healthcare professionals, patients, families, and other stakeholders working together to identify opportunities for improvement and implement changes that lead to better outcomes. QI initiatives may focus on specific clinical areas, such as improving diabetes management or reducing hospital-acquired infections, or they may address broader system issues, such as improving patient communication or reducing healthcare costs.

QI is an ongoing process that requires a culture of continuous learning and improvement. Healthcare organizations that prioritize QI are committed to measuring their performance, identifying areas for improvement, testing new approaches, and sharing their successes and failures with others in the field. By adopting a QI approach, healthcare providers can improve patient satisfaction, reduce costs, and enhance the overall quality of care they provide.

I believe there may be a misunderstanding in your question. "Library Associations" is not a medical term, but rather a general term that refers to organizations that bring together individuals who work in or have an interest in libraries and library services. These associations often aim to promote the development, promotion, and improvement of library and information services, as well as to provide a platform for networking, professional development, and advocacy.

If you meant to ask about a medical term, could you please clarify? I'd be happy to help you with that!

I'm sorry for any confusion, but "Financial Audit" is not a medical term. It belongs to the field of accounting and finance. A financial audit is an independent examination of an organization's financial records, statements, and accounting practices to ensure that they are accurate, complete, and in accordance with applicable laws and regulations. This process is conducted by professional auditors who are unbiased and independent from the organization being audited.

Protein sequence analysis is the systematic examination and interpretation of the amino acid sequence of a protein to understand its structure, function, evolutionary relationships, and other biological properties. It involves various computational methods and tools to analyze the primary structure of proteins, which is the linear arrangement of amino acids along the polypeptide chain.

Protein sequence analysis can provide insights into several aspects, such as:

1. Identification of functional domains, motifs, or sites within a protein that may be responsible for its specific biochemical activities.
2. Comparison of homologous sequences from different organisms to infer evolutionary relationships and determine the degree of similarity or divergence among them.
3. Prediction of secondary and tertiary structures based on patterns of amino acid composition, hydrophobicity, and charge distribution.
4. Detection of post-translational modifications that may influence protein function, localization, or stability.
5. Identification of protease cleavage sites, signal peptides, or other sequence features that play a role in protein processing and targeting.

Some common techniques used in protein sequence analysis include:

1. Multiple Sequence Alignment (MSA): A method to align multiple protein sequences to identify conserved regions, gaps, and variations.
2. BLAST (Basic Local Alignment Search Tool): A widely-used tool for comparing a query protein sequence against a database of known sequences to find similarities and infer function or evolutionary relationships.
3. Hidden Markov Models (HMMs): Statistical models used to describe the probability distribution of amino acid sequences in protein families, allowing for more sensitive detection of remote homologs.
4. Protein structure prediction: Methods that use various computational approaches to predict the three-dimensional structure of a protein based on its amino acid sequence.
5. Phylogenetic analysis: The construction and interpretation of evolutionary trees (phylogenies) based on aligned protein sequences, which can provide insights into the historical relationships among organisms or proteins.

Software validation, in the context of medical devices and healthcare, is the process of evaluating software to ensure that it meets specified requirements for its intended use and that it performs as expected. This process is typically carried out through testing and other verification methods to ensure that the software functions correctly, safely, and reliably in a real-world environment. The goal of software validation is to provide evidence that the software is fit for its intended purpose and complies with relevant regulations and standards. It is an important part of the overall process of bringing a medical device or healthcare technology to market, as it helps to ensure patient safety and regulatory compliance.

Cancer care facilities are healthcare institutions that provide medical and supportive services to patients diagnosed with cancer. These facilities offer a range of treatments, including surgery, radiation therapy, chemotherapy, immunotherapy, and hormone therapy. They also provide diagnostic services, pain management, rehabilitation, palliative care, and psychosocial support to help patients cope with the physical and emotional challenges of cancer and its treatment.

Cancer care facilities can vary in size and scope, from large academic medical centers that offer cutting-edge clinical trials and specialized treatments, to community hospitals and outpatient clinics that provide more routine cancer care. Some cancer care facilities specialize in specific types of cancer or treatments, while others offer a comprehensive range of services for all types of cancer.

In addition to medical treatment, cancer care facilities may also provide complementary therapies such as acupuncture, massage, and yoga to help patients manage symptoms and improve their quality of life during and after treatment. They may also offer support groups, counseling, and other resources to help patients and their families cope with the challenges of cancer.

Overall, cancer care facilities play a critical role in diagnosing, treating, and supporting patients with cancer, helping them to achieve the best possible outcomes and quality of life.

Organizational efficiency is a management concept that refers to the ability of an organization to produce the desired output with minimal waste of resources such as time, money, and labor. It involves optimizing processes, structures, and systems within the organization to achieve its goals in the most effective and efficient manner possible. This can be achieved through various means, including the implementation of best practices, the use of technology to automate and streamline processes, and the continuous improvement of skills and knowledge among employees. Ultimately, organizational efficiency is about creating value for stakeholders while minimizing waste and maximizing returns on investment.

A factual database in the medical context is a collection of organized and structured data that contains verified and accurate information related to medicine, healthcare, or health sciences. These databases serve as reliable resources for various stakeholders, including healthcare professionals, researchers, students, and patients, to access evidence-based information for making informed decisions and enhancing knowledge.

Examples of factual medical databases include:

1. PubMed: A comprehensive database of biomedical literature maintained by the US National Library of Medicine (NLM). It contains citations and abstracts from life sciences journals, books, and conference proceedings.
2. MEDLINE: A subset of PubMed, MEDLINE focuses on high-quality, peer-reviewed articles related to biomedicine and health. It is the primary component of the NLM's database and serves as a critical resource for healthcare professionals and researchers worldwide.
3. Cochrane Library: A collection of systematic reviews and meta-analyses focused on evidence-based medicine. The library aims to provide unbiased, high-quality information to support clinical decision-making and improve patient outcomes.
4. OVID: A platform that offers access to various medical and healthcare databases, including MEDLINE, Embase, and PsycINFO. It facilitates the search and retrieval of relevant literature for researchers, clinicians, and students.
5. ClinicalTrials.gov: A registry and results database of publicly and privately supported clinical studies conducted around the world. The platform aims to increase transparency and accessibility of clinical trial data for healthcare professionals, researchers, and patients.
6. UpToDate: An evidence-based, physician-authored clinical decision support resource that provides information on diagnosis, treatment, and prevention of medical conditions. It serves as a point-of-care tool for healthcare professionals to make informed decisions and improve patient care.
7. TRIP Database: A search engine designed to facilitate evidence-based medicine by providing quick access to high-quality resources, including systematic reviews, clinical guidelines, and practice recommendations.
8. National Guideline Clearinghouse (NGC): A database of evidence-based clinical practice guidelines and related documents developed through a rigorous review process. The NGC aims to provide clinicians, healthcare providers, and policymakers with reliable guidance for patient care.
9. DrugBank: A comprehensive, freely accessible online database containing detailed information about drugs, their mechanisms, interactions, and targets. It serves as a valuable resource for researchers, healthcare professionals, and students in the field of pharmacology and drug discovery.
10. Genetic Testing Registry (GTR): A database that provides centralized information about genetic tests, test developers, laboratories offering tests, and clinical validity and utility of genetic tests. It serves as a resource for healthcare professionals, researchers, and patients to make informed decisions regarding genetic testing.

Comprehensive health care is a type of medical care that aims to meet the majority of an individual's physical, emotional, and social needs, through a coordinated and integrated system of preventative, acute, and long-term care services. It is designed to provide a continuum of care that is accessible, efficient, and effective in addressing the whole person's health status, including all aspects of prevention, diagnosis, treatment, and management of both physical and mental health conditions.

Comprehensive health care may include a wide range of services such as preventative screenings, routine check-ups, immunizations, acute care for illnesses or injuries, chronic disease management, mental health counseling, rehabilitation, and end-of-life care. It is typically delivered through a network of healthcare providers, including primary care physicians, specialists, hospitals, clinics, and community-based organizations, who work together to provide coordinated and patient-centered care.

The goal of comprehensive health care is to improve health outcomes, enhance quality of life, and reduce health disparities by addressing the social determinants of health, such as poverty, education, housing, and nutrition, that can impact an individual's overall health status. It recognizes that healthcare is just one component of a larger system of factors that influence a person's health and well-being, and seeks to create a more holistic approach to medical care that addresses the full range of factors that contribute to good health.

A hospital is a healthcare facility where patients receive medical treatment, diagnosis, and care for various health conditions, injuries, or diseases. It is typically staffed with medical professionals such as doctors, nurses, and other healthcare workers who provide round-the-clock medical services. Hospitals may offer inpatient (overnight) stays or outpatient (same-day) services, depending on the nature of the treatment required. They are equipped with various medical facilities like operating rooms, diagnostic equipment, intensive care units (ICUs), and emergency departments to handle a wide range of medical situations. Hospitals may specialize in specific areas of medicine, such as pediatrics, geriatrics, oncology, or trauma care.

Clinical pathology is a medical specialty that focuses on the diagnosis of diseases through the examination of organs, tissues, and bodily fluids, such as blood and urine. It involves the use of laboratory tests to identify abnormalities in the body's cells, chemicals, and functions that may indicate the presence of a specific disease or condition. Clinical pathologists work closely with other healthcare professionals to help manage patient care, provide treatment recommendations, and monitor the effectiveness of treatments. They are responsible for supervising the laboratory testing process, ensuring accurate results, and interpreting the findings in the context of each patient's medical history and symptoms. Overall, clinical pathology plays a critical role in the diagnosis, treatment, and prevention of many different types of diseases and conditions.

Computational biology is a branch of biology that uses mathematical and computational methods to study biological data, models, and processes. It involves the development and application of algorithms, statistical models, and computational approaches to analyze and interpret large-scale molecular and phenotypic data from genomics, transcriptomics, proteomics, metabolomics, and other high-throughput technologies. The goal is to gain insights into biological systems and processes, develop predictive models, and inform experimental design and hypothesis testing in the life sciences. Computational biology encompasses a wide range of disciplines, including bioinformatics, systems biology, computational genomics, network biology, and mathematical modeling of biological systems.

A protein database is a type of biological database that contains information about proteins and their structures, functions, sequences, and interactions with other molecules. These databases can include experimentally determined data, such as protein sequences derived from DNA sequencing or mass spectrometry, as well as predicted data based on computational methods.

Some examples of protein databases include:

1. UniProtKB: a comprehensive protein database that provides information about protein sequences, functions, and structures, as well as literature references and links to other resources.
2. PDB (Protein Data Bank): a database of three-dimensional protein structures determined by experimental methods such as X-ray crystallography and nuclear magnetic resonance (NMR) spectroscopy.
3. BLAST (Basic Local Alignment Search Tool): a web-based tool that allows users to compare a query protein sequence against a protein database to identify similar sequences and potential functional relationships.
4. InterPro: a database of protein families, domains, and functional sites that provides information about protein function based on sequence analysis and other data.
5. STRING (Search Tool for the Retrieval of Interacting Genes/Proteins): a database of known and predicted protein-protein interactions, including physical and functional associations.

Protein databases are essential tools in proteomics research, enabling researchers to study protein function, evolution, and interaction networks on a large scale.

Hospital administration is a field of study and profession that deals with the management and leadership of hospitals and other healthcare facilities. It involves overseeing various aspects such as finance, human resources, operations, strategic planning, policy development, patient care services, and quality improvement. The main goal of hospital administration is to ensure that the organization runs smoothly, efficiently, and effectively while meeting its mission, vision, and values. Hospital administrators work closely with medical staff, board members, patients, and other stakeholders to make informed decisions that promote high-quality care, patient safety, and organizational growth. They may hold various titles such as CEO, COO, CFO, Director of Nursing, or Department Manager, depending on the size and structure of the healthcare facility.

Proteins are complex, large molecules that play critical roles in the body's functions. They are made up of amino acids, which are organic compounds that are the building blocks of proteins. Proteins are required for the structure, function, and regulation of the body's tissues and organs. They are essential for the growth, repair, and maintenance of body tissues, and they play a crucial role in many biological processes, including metabolism, immune response, and cellular signaling. Proteins can be classified into different types based on their structure and function, such as enzymes, hormones, antibodies, and structural proteins. They are found in various foods, especially animal-derived products like meat, dairy, and eggs, as well as plant-based sources like beans, nuts, and grains.

Total Quality Management (TQM) is not a medical term per se, but rather a management approach that has been adopted in various industries, including healthcare. Here's a general definition:

Total Quality Management (TQM) is a customer-focused management framework that involves all employees in an organization in continuous improvement efforts to meet or exceed customer expectations. It is based on the principles of quality control, continuous process improvement, and customer satisfaction. TQM aims to create a culture where all members of the organization are responsible for quality, with the goal of providing defect-free products or services to customers consistently.

In healthcare, TQM can be used to improve patient care, reduce medical errors, increase efficiency, and enhance patient satisfaction. It involves the use of data-driven decision-making, process improvement techniques such as Lean and Six Sigma, and a focus on evidence-based practices. The ultimate goal of TQM in healthcare is to provide high-quality, safe, and cost-effective care to patients.

I'm sorry for any confusion, but "Organizational Objectives" is not a term that has a specific medical definition. It is a general management and business concept. Organizational objectives are the goals or targets that an organization aims to achieve through its operations and functions. These can include financial objectives like profitability and growth, as well as non-financial objectives related to areas like quality, innovation, social responsibility, and employee satisfaction.

In a healthcare setting, organizational objectives might include improving patient outcomes, increasing patient satisfaction, reducing costs, implementing new treatments or technologies, enhancing community health, and maintaining ethical standards.

In genetics, sequence alignment is the process of arranging two or more DNA, RNA, or protein sequences to identify regions of similarity or homology between them. This is often done using computational methods to compare the nucleotide or amino acid sequences and identify matching patterns, which can provide insight into evolutionary relationships, functional domains, or potential genetic disorders. The alignment process typically involves adjusting gaps and mismatches in the sequences to maximize the similarity between them, resulting in an aligned sequence that can be visually represented and analyzed.

I'm sorry for any confusion, but "International Cooperation" is not a medical term. It refers to the collaboration and exchange of resources and information between countries or international organizations in various fields, including politics, economics, culture, environment, and security, among others. In the context of healthcare and medicine, international cooperation can involve joint research projects, sharing of data and clinical trial results, collaborative efforts to combat global health issues (such as infectious diseases or chronic conditions), capacity building in low-resource settings, and standardizing medical practices and guidelines across countries.

Reproducibility of results in a medical context refers to the ability to obtain consistent and comparable findings when a particular experiment or study is repeated, either by the same researcher or by different researchers, following the same experimental protocol. It is an essential principle in scientific research that helps to ensure the validity and reliability of research findings.

In medical research, reproducibility of results is crucial for establishing the effectiveness and safety of new treatments, interventions, or diagnostic tools. It involves conducting well-designed studies with adequate sample sizes, appropriate statistical analyses, and transparent reporting of methods and findings to allow other researchers to replicate the study and confirm or refute the results.

The lack of reproducibility in medical research has become a significant concern in recent years, as several high-profile studies have failed to produce consistent findings when replicated by other researchers. This has led to increased scrutiny of research practices and a call for greater transparency, rigor, and standardization in the conduct and reporting of medical research.

I'm sorry for any confusion, but "Schools, Pharmacy" is not a recognized medical term or concept. A "pharmacy school" refers to an educational institution that provides training and degrees in the field of pharmacy. If you have any questions about pharmacy education or the pharmacy profession, I'd be happy to try to help answer those!

I'm sorry for any confusion, but "Germany" is not a medical term or concept. It is the name of a country in central Europe. If you have any questions related to medical topics, I would be happy to try and help answer those for you!

Certification is the act of granting a formal warranty or guarantee (a certificate) that a product, process, or service conforms to specified requirements. In the medical field, certification often refers to the process by which a regulatory body or professional organization grants recognition to a healthcare professional, institution, or program that meets certain predetermined standards.

For example, in the United States, physicians can become certified in a particular medical specialty through the American Board of Medical Specialties (ABMS) after completing residency training and passing a rigorous examination. Similarly, hospitals and other healthcare facilities may be certified by organizations such as The Joint Commission to demonstrate that they meet established quality and safety standards.

Medical certification serves several purposes, including:

1. Ensuring competence: Certification helps establish that the certified individual or organization possesses the necessary knowledge, skills, and abilities to provide safe and effective care in their area of expertise.
2. Protecting patients: By setting and enforcing standards, certification organizations aim to protect patients from harm and ensure they receive high-quality care.
3. Promoting continuous improvement: Certification programs often require ongoing professional development and continuing education, encouraging healthcare professionals and institutions to stay current with best practices and advancements in their field.
4. Enhancing public trust: Certification can help build public confidence in the competence and expertise of healthcare providers and organizations, making it easier for patients to make informed decisions about their care.

A computer simulation is a process that involves creating a model of a real-world system or phenomenon on a computer and then using that model to run experiments and make predictions about how the system will behave under different conditions. In the medical field, computer simulations are used for a variety of purposes, including:

1. Training and education: Computer simulations can be used to create realistic virtual environments where medical students and professionals can practice their skills and learn new procedures without risk to actual patients. For example, surgeons may use simulation software to practice complex surgical techniques before performing them on real patients.
2. Research and development: Computer simulations can help medical researchers study the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone. By creating detailed models of cells, tissues, organs, or even entire organisms, researchers can use simulation software to explore how these systems function and how they respond to different stimuli.
3. Drug discovery and development: Computer simulations are an essential tool in modern drug discovery and development. By modeling the behavior of drugs at a molecular level, researchers can predict how they will interact with their targets in the body and identify potential side effects or toxicities. This information can help guide the design of new drugs and reduce the need for expensive and time-consuming clinical trials.
4. Personalized medicine: Computer simulations can be used to create personalized models of individual patients based on their unique genetic, physiological, and environmental characteristics. These models can then be used to predict how a patient will respond to different treatments and identify the most effective therapy for their specific condition.

Overall, computer simulations are a powerful tool in modern medicine, enabling researchers and clinicians to study complex systems and make predictions about how they will behave under a wide range of conditions. By providing insights into the behavior of biological systems at a level of detail that would be difficult or impossible to achieve through experimental methods alone, computer simulations are helping to advance our understanding of human health and disease.

I'm sorry for any confusion, but "United States" is a geopolitical entity, specifically the name of the country consisting of 50 states, and it is not a medical term or concept. Therefore, I can't provide a medical definition for it. If you have any questions related to health, medicine, or biology, I would be happy to try to help answer those!

I'm sorry for any confusion, but "Internet" is a term that pertains to the global network of interconnected computers and servers that enable the transmission and reception of data via the internet protocol (IP). It is not a medical term and does not have a specific medical definition. If you have any questions related to medicine or health, I'd be happy to try to help answer them for you!

Diagnosis-Related Groups (DRGs) are a system of classifying hospital patients based on their severity of illness, resource utilization, and other factors. DRGs were developed by the US federal government to determine the relative cost of providing inpatient care for various types of diagnoses and procedures.

The DRG system categorizes patients into one of several hundred groups based on their diagnosis, treatment, and other clinical characteristics. Each DRG has a corresponding payment weight that reflects the average resource utilization and costs associated with caring for patients in that group. Hospitals are then reimbursed for inpatient services based on the DRG payment weights, providing an incentive to provide more efficient and cost-effective care.

DRGs have been widely adopted as a tool for managing healthcare costs and improving quality of care. They are used by Medicare, Medicaid, and many private insurers to determine payments for inpatient hospital services. DRGs can also be used to compare the performance of hospitals and healthcare providers, identify best practices, and support quality improvement initiatives.

Statistical models are mathematical representations that describe the relationship between variables in a given dataset. They are used to analyze and interpret data in order to make predictions or test hypotheses about a population. In the context of medicine, statistical models can be used for various purposes such as:

1. Disease risk prediction: By analyzing demographic, clinical, and genetic data using statistical models, researchers can identify factors that contribute to an individual's risk of developing certain diseases. This information can then be used to develop personalized prevention strategies or early detection methods.

2. Clinical trial design and analysis: Statistical models are essential tools for designing and analyzing clinical trials. They help determine sample size, allocate participants to treatment groups, and assess the effectiveness and safety of interventions.

3. Epidemiological studies: Researchers use statistical models to investigate the distribution and determinants of health-related events in populations. This includes studying patterns of disease transmission, evaluating public health interventions, and estimating the burden of diseases.

4. Health services research: Statistical models are employed to analyze healthcare utilization, costs, and outcomes. This helps inform decisions about resource allocation, policy development, and quality improvement initiatives.

5. Biostatistics and bioinformatics: In these fields, statistical models are used to analyze large-scale molecular data (e.g., genomics, proteomics) to understand biological processes and identify potential therapeutic targets.

In summary, statistical models in medicine provide a framework for understanding complex relationships between variables and making informed decisions based on data-driven insights.

A User-Computer Interface (also known as Human-Computer Interaction) refers to the point at which a person (user) interacts with a computer system. This can include both hardware and software components, such as keyboards, mice, touchscreens, and graphical user interfaces (GUIs). The design of the user-computer interface is crucial in determining the usability and accessibility of a computer system for the user. A well-designed interface should be intuitive, efficient, and easy to use, minimizing the cognitive load on the user and allowing them to effectively accomplish their tasks.

Consumer satisfaction in a medical context refers to the degree to which a patient or their family is content with the healthcare services, products, or experiences they have received. It is a measure of how well the healthcare delivery aligns with the patient's expectations, needs, and preferences. Factors that contribute to consumer satisfaction may include the quality of care, communication and interpersonal skills of healthcare providers, accessibility and convenience, affordability, and outcomes. High consumer satisfaction is associated with better adherence to treatment plans, improved health outcomes, and higher patient loyalty.

I'm sorry for any confusion, but the term "Great Britain" is not a medical concept or condition. It is a geographical and political term referring to the largest island in the British Isles, on which the majority of England, Scotland, and Wales are located. It's also used to refer to the political union of these three countries, which is called the United Kingdom. Therefore, it doesn't have a medical definition.

Health care surveys are research tools used to systematically collect information from a population or sample regarding their experiences, perceptions, and knowledge of health services, health outcomes, and various other health-related topics. These surveys typically consist of standardized questionnaires that cover specific aspects of healthcare, such as access to care, quality of care, patient satisfaction, health disparities, and healthcare costs. The data gathered from health care surveys are used to inform policy decisions, improve healthcare delivery, identify best practices, allocate resources, and monitor the health status of populations. Health care surveys can be conducted through various modes, including in-person interviews, telephone interviews, mail-in questionnaires, or online platforms.

"Quality control" is a term that is used in many industries, including healthcare and medicine, to describe the systematic process of ensuring that products or services meet certain standards and regulations. In the context of healthcare, quality control often refers to the measures taken to ensure that the care provided to patients is safe, effective, and consistent. This can include processes such as:

1. Implementing standardized protocols and guidelines for care
2. Training and educating staff to follow these protocols
3. Regularly monitoring and evaluating the outcomes of care
4. Making improvements to processes and systems based on data and feedback
5. Ensuring that equipment and supplies are maintained and functioning properly
6. Implementing systems for reporting and addressing safety concerns or errors.

The goal of quality control in healthcare is to provide high-quality, patient-centered care that meets the needs and expectations of patients, while also protecting their safety and well-being.

Data collection in the medical context refers to the systematic gathering of information relevant to a specific research question or clinical situation. This process involves identifying and recording data elements, such as demographic characteristics, medical history, physical examination findings, laboratory results, and imaging studies, from various sources including patient interviews, medical records, and diagnostic tests. The data collected is used to support clinical decision-making, inform research hypotheses, and evaluate the effectiveness of treatments or interventions. It is essential that data collection is performed in a standardized and unbiased manner to ensure the validity and reliability of the results.

Quality of health care is a term that refers to the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge. It encompasses various aspects such as:

1. Clinical effectiveness: The use of best available evidence to make decisions about prevention, diagnosis, treatment, and care. This includes considering the benefits and harms of different options and making sure that the most effective interventions are used.
2. Safety: Preventing harm to patients and minimizing risks associated with healthcare. This involves identifying potential hazards, implementing measures to reduce errors, and learning from adverse events to improve systems and processes.
3. Patient-centeredness: Providing care that is respectful of and responsive to individual patient preferences, needs, and values. This includes ensuring that patients are fully informed about their condition and treatment options, involving them in decision-making, and providing emotional support throughout the care process.
4. Timeliness: Ensuring that healthcare services are delivered promptly and efficiently, without unnecessary delays. This includes coordinating care across different providers and settings to ensure continuity and avoid gaps in service.
5. Efficiency: Using resources wisely and avoiding waste, while still providing high-quality care. This involves considering the costs and benefits of different interventions, as well as ensuring that healthcare services are equitably distributed.
6. Equitability: Ensuring that all individuals have access to quality healthcare services, regardless of their socioeconomic status, race, ethnicity, gender, age, or other factors. This includes addressing disparities in health outcomes and promoting fairness and justice in healthcare.

Overall, the quality of health care is a multidimensional concept that requires ongoing evaluation and improvement to ensure that patients receive the best possible care.

Benchmark Litigation is the definitive guide to litigation firms and attorneys in the United States and Canada. ... Benchmark Litigation is the definitive guide to the worlds leading litigation firms and lawyers. We provide law firm and ...

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How to benchmark Perl code for speed. Sep 29, 2013 by David Farrell ...

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Intel Optimized LINPACK Benchmark for Linux* Intel® Distribution for LINPACK* Benchmark Intel® Optimized High Performance ... Contents of the Intel® Distribution for LINPACK* Benchmark. * Building the Intel® Distribution for LINPACK* Benchmark for a ... Overview of the Intel® Distribution for LINPACK* Benchmark Contents of the Intel® Distribution for LINPACK* Benchmark Building ... Contents of the Intel® Distribution for LINPACK* Benchmark. *Building the Intel® Distribution for LINPACK* Benchmark for a ...

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CUDA Factorial Benchmark from TOC.ru Started by [XC] riptide, 08-30-2009 02:26 PM 5 Pages •. 1 2 3 4 5 ... Sticky: Link for all of your Benchmarking downloads Started by Major, 04-29-2003 07:34 PM 2 Pages •. 1 2 ... Gaming benchmarks: Core i7 3770K 4.5 GHz vs Core i7 6700K 4.5 GHz Started by Artas1984, 08-12-2017 03:33 AM ... Gaming benchmarks: Core i7 6700k hyperthreading test (2018 update with GTX 1080 Ti) Started by Artas1984, 10-14-2018 05:38 AM ...

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Benchmarking Nginx with Go. GitHub Gist: instantly share code, notes, and snippets. ... I notice that the benchmark check download file only, is there a benchmark that check file upload (POST/PUT request)? ... Run the benchmarks. The benchmarks. GOMAXPROCS = 1. Go standalone. # wrk -t100 -c5000 -d30s http://127.0.0.1:8080/ Running 30s ... Benchmarking Nginx with Go. There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. ...

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Get the latest performance benchmarks comparing Amazon AWS Redshift and Amazon Aurora with Oracle HeatWave and Oracle MySQL ... Disclaimer: Benchmark queries are derived from the TPC-H benchmark, but results are not comparable to published TPC-H benchmark ... Benchmark queries are derived from the TPC-H benchmark, but results arent comparable to published TPC-H benchmark results ... Disclaimer: Benchmark queries are derived from the TPC-H benchmarks, but results arent comparable to published TPC-H benchmark ...

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Were dialed in with benchmarks on the PC. Our CPU suite is mix of single- and multi-threaded real-world apps, some of which ... A Much Needed Benchmark, Just In Time. Were dialed in with benchmarks on the PC. Our CPU suite is mix of single- and multi- ... The only relevant benchmarks are the first two because they are full-fletch 3D graphics, which is won by the most portable ... The only relevant benchmarks are the first two because they are full-fletch 3D graphics, which is won by the most portable ...

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Microsoft will post new benchmark numbers that show Windows 2000 blowing away Oracles 9iAS application server in performance ... The result of this cat fight is that there will be even less regard for benchmarks, and Oracle and Microsoft will gain respect ... Microsoft, again trying hard to prove to the Unix community that Windows is an app server, took the benchmark and ran its own ... Oracle must take the blame for kicking up this benchmark storm. The company believes its 9iAS app server has performance ...

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GitHub Gist: instantly share code, notes, and snippets.

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SolidWorks 98TM, Quake IITM Benchmarks. Pro/ENGINEERTM under development. SPEC/GPC has released the first standardized graphics ... Benchmarks from the APC group address what its members think is a benchmarking void: Although there are a few ad hoc ... SPEC/GPCs SolidWorks 98 benchmark is designed to represent a day in the life of a typical SolidWorks 98 user. The benchmark ... and a wider range of industry benchmarks are needed. The group develops its benchmarks by working with user groups, testing ...

https://www.spec.org/gwpg/pastissues/Oct98/apc.static/apcgro~1.html

Trying Out & Benchmarking Bcachefs On Linux 6.7. Benchmarking The Performance Cost To Full Disk Encryption For Modern AMD Ryzen ... BFS Scheduler Benchmarks. Written by Michael Larabel in Software on 14 September 2009. Page 3 of 4. 105 Comments ... GraphicsMagick is driven by OpenMP for its multi-processing support and with the image resizing benchmark the performance under ... AMD EPYC 8534P / EPYC 8534PN Benchmarks - Siena Delivers Incredible Value & Energy Efficiency For Linux Servers ...

https://www.phoronix.com/review/bfs_scheduler_benchmarks/3

National Grid can help you with New York Citys Benchmarking Law. ... NYC Benchmarking Law: FAQ. Steps to Compliance: NYC ... NYC Benchmarking Law. National Grid can help you with New York Citys Benchmarking Law.. New York Citys ambitious Climate ... Will the Benchmarking Law change? National Grids Anthony Rondinelli provides insight into what changes may be coming to the ... You likely have many questions about the New York City Benchmarking Law. Heres some answers to many frequently asked questions ...

https://www.nationalgridus.com/NYC-Benchmarking-Law

... the benchmark statement to be published by the administrator of a benchmark. ... Commission Implementing Regulation (EU) 2021/1848 of 21 October 2021 on the designation of a replacement for the benchmark Euro ... to be provided by administrators of critical or significant benchmarks on the methodology used to determine the benchmark, the ... Parliament and of the Council as regards minimum standards for EU Climate Transition Benchmarks and EU Paris-aligned Benchmarks ...

https://cnmv.es/Portal/Gpage.aspx?id=RTS_ITS_Indices_Referencia

4 May 2023, Cairo - Dr Palitha Mahipala, WHO Representative in Pakistan, recently visited the Centre of Biomedical Ethics and Culture at the Sindh Institute of Urology and Transplantation in Karachi, to address a pilot workshop on benchmarking ethics oversight of health-related research with human participants. (who.int)

The 12 stage methodology consists of: Select subject Define the process Identify potential partners Identify data sources Collect data and select all partners Determine the gap Establish process differences Target future performance Communicate Adjust goal Implement Review and recalibrate The following is an example of a typical benchmarking methodology: Identify problem areas: Because benchmarking can be applied to any business process or function, a range of research techniques may be required. (wikipedia.org)
Ultimately, careful and detailed documentation of benchmarking methodology and other choices made in health equity measurement, paired with a discussion of the root causes of inequities, connects the dots between disparate outcomes and the disparities in power and privilege in which they are rooted to maintain the focus on the goal of advancing health equity. (rwjf.org)
The methodology of the statistics published between 1990 and end-2013 relates to the 3rd edition of the Benchmark Definition which is available in English , French and Russian . (oecd.org)
Network Working Group B. Hickman Request for Comments: 3511 Spirent Communications Category: Informational D. Newman Network Test S. Tadjudin Spirent Communications T. Martin GVNW Consulting Inc April 2003 Benchmarking Methodology for Firewall Performance Status of this Memo This memo provides information for the Internet community. (rfc-editor.org)
This document is a product of the Benchmarking Methodology Working Group (BMWG) of the Internet Engineering Task Force (IETF). (rfc-editor.org)
Using the methodology introduced in 2006, the index and the analysis focus on benchmarking parity between women and men across countries and regions. (weforum.org)

Periodic benchmarks of global discards are needed to assess the performance of reduction efforts. (nature.com)
UL has recently announced 3DMark Solar Bay, a new benchmark designed to assess ray-traced graphics performance across Windows PCs and high-end Android devices. (kitguru.net)
The goals of the collection are to provide a benchmark for the state of the field that can be used by data science and health communities to assess progress over the next several years. (nih.gov)

Futuremark recently unveiled its latest 3DMark benchmarking suite for Android devices. (pcper.com)
Basemark OS II is a compound, all-in -one benchmarking tool for measuring the overall performance of smartphones and tablets on Android, iOS and Windows phone 8. (gsmarena.com)
This new benchmark comes as a complimentary update to the 3DMark (standard and Professional editions) and 3DMark Android App. (kitguru.net)

Just hours after we published our initial Ice Lake benchmarks comparing the i7-1065G7 to the Ryzen 7 3700U - benchmarks which included Geekbench 4 results - Primate. (pcper.com)
Arriving just a few hours too late to be included in our latest hardware benchmarks, Geekbench 5 has just been released. (pcper.com)
Geekbench 2 is a math-oriented benchmark is that used to show how fast CPU cores can solve math problems. (ubergizmo.com)
Following the CPU-Z benchmark results of the upcoming Intel Core i9-14900K, a leaker has now found three Geekbench entries featuring the 14th Gen Core flagship CPU. (kitguru.net)
Tonight I benchmarked my System76 Darter Pro (darp6) with coreboot using sysbench and geekbench. (linux.org)

The wide appeal and acceptance of benchmarking has led to the emergence of benchmarking methodologies. (wikipedia.org)
Introduction This document provides methodologies for the performance benchmarking of firewalls. (rfc-editor.org)

In comparison with other less rigorously conducted benchmarking-type studies reviewed in the paper, this 98.5% BCVA of ≥ 0.5 exceeded reported rates varying from 94.6% to 95.4% for eyes without comorbidities. (medscape.com)

In the process of best practice benchmarking, management identifies the best firms in their industry, or in another industry where similar processes exist, and compares the results and processes of those studied (the "targets") to one's own results and processes. (wikipedia.org)
Talk from SemTech 2012 West in San Francisco - Discusses the why and how of SPARQL benchmarking and shows some example results generated by our tool Key takeaway - a benchmark can only tell you so much. (slideshare.net)
Benchmark queries are derived from TPC-H benchmark, but results are not comparable to published TPC-H benchmark results since they do not comply with TPC-H specification. (mysql.com)
SurveyMonkey offers benchmarks as an easy way to compare survey results within key categories such as customer satisfaction, employee engagement, and more. (surveymonkey.com)
When SurveyMonkey customers use our expert-certified survey templates and questions from our Question Bank , our platform anonymizes and aggregates the responses to each question, creating benchmarks to compare your results against. (surveymonkey.com)
If you use questions from our Question Bank or a benchmarkable survey , our free Global Benchmarks will appear next to your survey results. (surveymonkey.com)
Compare your survey results against benchmarks in industries like Technology, Professional Services, Education, and more. (surveymonkey.com)
After you use SurveyMonkey's templates to get your score, you can see how your results stack up by comparing them to our benchmarks. (surveymonkey.com)
Collect feedback via our website feedback template , then compare the results against SurveyMonkey Benchmarks. (surveymonkey.com)
While modelers are attempting to predict the measurement results, the people/organizations that helped design each specific benchmark test (members of the Benchmark Measurement Committees) will carry out the specified builds and measurements. (nist.gov)
Note that you cannot compare POV-Ray 3.6 and 3.7 benchmark results due to improvements in version 3.7. (povray.org)
The benchmark results can only be compared if you are using the exact same version of POV-Ray and the benchmark on all systems you are testing. (povray.org)
If you choose to quote your benchmark results publicly, it is essential that you include the benchmark version and the exact version of POV-Ray that you ran it on. (povray.org)
By using these switches, you are more likely to be able to compare your benchmark results with those of other people who also use these switches. (povray.org)
While we've seen 'official' benchmarks already, we are now starting to see independent third-party benchmark results, putting the RX 7900M up against the competition. (kitguru.net)
Benchmark results for a System76 Darter Pro with an Intel Core i7-10510U processor. (linux.org)
For our latest benchmarks, we've tested nearly every GPU released in the past seven years, plus a few extras, at 1080p medium and 1080p ultra, and sorted the table by the 1080p ultra results. (tomshardware.com)

On page two , you'll find our 2020-2021 benchmark suite, which has all of the previous generation GPUs running our older test suite running on a Core i9-9900K testbed. (tomshardware.com)

The IFMA North America Operations and Maintenance Benchmarking Report is IFMA's premier resource for facility professionals and their industry partners to generate key insights on facility operational performance. (ifma.org)
Throughout the benchmarking process, it offers tips on incorporating actionable insights. (selfgrowth.com)

Benchmarking is the practice of comparing business processes and performance metrics to industry bests and best practices from other companies. (wikipedia.org)
Also referred to as "best practice benchmarking" or "process benchmarking", this process is used in management in which organizations evaluate various aspects of their processes in relation to best-practice companies' processes, usually within a peer group defined for the purposes of comparison. (wikipedia.org)
The tools that are likely to increase in popularity the most over the next three years are Performance Benchmarking, Informal Benchmarking, SWOT, and Best Practice Benchmarking. (wikipedia.org)

In the course of their study, we find out how much seemingly simple benchmark indices can vary among study sites, with no apparent explanation. (medscape.com)
config/initializers/benchmarking.rb require 'simple_benchmark' SimpleBenchmark.enabled = Rails.env.development? (viget.com)

The IFMA Middle East Operations and Maintenance Benchmarks Report is the first report of its kind published for this region, providing detailed performance metrics for two main facility operations areas: janitorial and maintenance. (ifma.org)

Following this tradition, and with input received during and prior to the April 2013 conference, NINDS has developed 2014 Benchmarks for Epilepsy Research as a framework for focusing research and benchmarking progress over the next five to ten years. (nih.gov)
NINDS in particular considers the Benchmarks when planning new investments in epilepsy research and has also worked with epilepsy researchers who serve as Benchmarks Stewards to track and promote progress. (nih.gov)
Organized by the NINDS in collaboration with epilepsy research and voluntary organizations, the meeting was a follow-up to the successful White House-initiated conference on epilepsy held in March 2000 that established the first set of Epilepsy Research Benchmarks to guide future research directions. (nih.gov)
Since the meeting in 2000, the NINDS, together with members of the scientific community who volunteered to serve as Stewards of individual Benchmarks, have guided the research areas toward the goal of finding a "cure" for epilepsy, defined as the prevention of epilepsy in people at risk, and by effective and safe therapy ("no seizures, no side effects") for those with the disorder. (nih.gov)
The NINDS solicited public input on these changes to the Benchmarks, and the Epilepsy Benchmark Stewards gathered in October 2007 to discuss the input received and to finalize the document. (nih.gov)
The NINDS looks forward to working with the epilepsy research community in achieving these Benchmarks in the coming years. (nih.gov)

After first announcing it last month, UL this weekend provided new information on its upcoming ray tracing-focused addition to the 3DMark benchmarking suite. (pcper.com)
HELSINKI, FINLAND - May 28, 2014 - Futuremark today announced 3DMark Sky Diver, a new DirectX 11 benchmark test for gaming laptops and mid-range PCs. (pcper.com)
Futuremark, developers of the popular 3DMark and PCMark computer hardware benchmarks has announced an official release date for the next version of 3DMark. (pcper.com)
Popular benchmarking software developers Futuremark recently posted a video of latest 3DMark tech demo. (pcper.com)
Popular benchmarking software company Futuremark has announced on their website a new version of their 3DMark application for Windows 8 benchmarking. (pcper.com)

A non-commercial license is available for the SPEC GWPG and SPEC HPG benchmarks free of charge for use by individuals and organizations that are not required to have a commercial license. (spec.org)

If it hasnt happened already, Microsoft will post new benchmark numbers that show Windows 2000 blowing away Oracles 9iAS application server in performance tests. (eweek.com)
Since their initial development in 2000, the Benchmarks have helped to galvanize the research community around important goals, such as preventing epileptogenesis, addressing aspects of epilepsy beyond seizures, and confronting the challenge of SUDEP - all of which are now vibrant areas of investigation. (nih.gov)
The epilepsy research community has made substantial progress on many of the Benchmarks since the 2000 meeting [2005 stewards' report click here] and the nature of the scientific enterprise has also evolved considerably since this time. (nih.gov)

Three potentially useful classes of benchmark measurements have been considered but AM-Bench 2018 and 2021 only implement Class 1 benchmarks. (nist.gov)
Still, I wanted to do something new, so I've added further graphs showing just the last 50 measurements for each benchmark (whereas the existing graphs showed all measurements since my data collection began). (gnu.org)

Our GPU benchmarks hierarchy ranks all the current and previous generation graphics cards by performance, and Tom's Hardware exhaustively benchmarks current and previous generation GPUs, including all of the best graphics cards . (tomshardware.com)

Benchmarking can be used to identify health disparities and establish a standard for evaluating efforts to address health inequities. (rwjf.org)

The eight games we're using for our standard GPU benchmarks hierarchy are Borderlands 3 (DX12), Far Cry 6 (DX12), Flight Simulator (DX11 AMD/DX12 Intel/Nvidia), Forza Horizon 5 (DX12), Horizon Zero Dawn (DX12), Red Dead Redemption 2 (Vulkan), Total War Warhammer 3 (DX11), and Watch Dogs Legion (DX12). (tomshardware.com)

To help inform these discussions, the Epilepsy Benchmarks Stewards have prepared a progress report summarizing research advances since 2007, as well as their views on opportunities and challenges for future research. (nih.gov)

With nearly 40,000 buildings represented over 2.2 billion gross square feet across, this report provides janitorial, maintenance and utilities benchmarks. (ifma.org)

Download Benchmarks_.jar to the plugins folder, or subfolder, restart ImageJ, and there should be a new Plugins/Benchmarks submenu containing nine commands. (nih.gov)
Explore and download CIS Benchmarks. (cisecurity.org)

The following document template can be used to scope the project and record the plan for benchmarking or as a starting place for creating such documentation. (apqc.org)

The following questions pertain to the 2002 critical benchmarks. (cdc.gov)
2002 critical benchmarks and associated activities have been completed by choosing "yes" or "no" for the column marked "complete? (cdc.gov)

Antutu 3.x is a system benchmark that tries to assign an overall score to the whole machine. (ubergizmo.com)

The complexities of sorting out the potentially confounding variables and reporting inconsistencies inherent in even this most basic analysis strains the credibility of any standard benchmark application for assessing quality. (medscape.com)
On this page we introduce the POV-Ray Standard Benchmark file, which is designed for just this purpose. (povray.org)
just click on the below thumbnail for a PNG version of the scene rendered at the standard benchmark resolution. (povray.org)

As an industry-recognized quality evaluation tool, the umlaut telecommunications benchmarking reports address areas such as speed, latency and consumer experience, across more than 200 networks and 120+ countries. (accenture.com)
The 2014 Benchmarks for Epilepsy Research are organized into key research goals in four areas in which significant progress should be likely over the next five to ten years. (nih.gov)
Across all areas of the Benchmarks, progress will depend on continued advances in research tools and methods and their application to epilepsy research, particularly as new and emerging research technologies provide unprecedented capabilities in brain imaging, electrophysiology, and genomics and other systems biology approaches. (nih.gov)
No company wants areas of relative weakness within their operation so benchmarking gives us a clear and evidence-based indication about what changes need making now in order to see future benefits," he said. (cio.com)
WARRENTON, Va., May 07, 2008 - The Standard Performance Evaluation Corp. (SPEC) has released SPECjvm2008, a new Java virtual machine benchmark with multithreaded workloads that represent a broad range of application areas. (spec.org)

Benchmarking may be a one-off event, but is often treated as a continuous process in which organizations continually seek to improve their practices. (wikipedia.org)
APQC (American Productivity & Quality Center) is the world's foremost authority in benchmarking, best practices, process and performance improvement, and knowledge management (KM). (apqc.org)

However, there are several reasons why this test is not completely valid, but there are two in particular that come to mind: The code used by Microsoft is obviously not Java, and, therefore, no direct comparisons can be made, and Pet Store was never designed to be a benchmark. (eweek.com)
for benchmarking, as it uses many of POV-Ray's internal features and is a heavy test of CPU ability. (povray.org)
Earlier this week we published benchmarks of all Ubuntu releases from 7.04 to the release candidate and had found the performance degraded with time , at least with the test system we used. (phoronix.com)
The benchmark, which uses 19 iterations in the test, is set 1 Million digits. (pcstats.com)

Benchmarking Crowd Score reports use anonymized, crowdsourced, market-level data to provide an indication of the direction 5G could take in the future. (accenture.com)
Because the benchmark job already controls the input data, everything can be handled behind the scenes. (github.com)
We need more data scientists, and we need to benchmark where data science is currently. (nih.gov)
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. (nih.gov)

You're not likely to conduct a competitor benchmarking exercise this deeply. (selfgrowth.com)

While advances may arise from many different research directions and may not be predictable, these broad goals are intended to serve as a shared framework for focusing the community's efforts and benchmarking important advances in the field as they are achieved. (nih.gov)

Some paid plans offer one industry benchmark for free. (surveymonkey.com)

As an important outcome, these conferences have led to the development of Benchmarks for Epilepsy Research , which reflect priorities for research toward clinically meaningful advances in understanding and treating the epilepsies. (nih.gov)
To better reflect this complexity, the 2014 Benchmarks refer instead to epilepsy-related conditions and consequences, within a revised organization that encourages the integration of these topics into research on the epilepsies as a whole. (nih.gov)
We delve deep into competitor analysis, from identifying competitors and defining benchmarking objectives to conducting online research and physical assessments. (selfgrowth.com)
Clients receive 24/7 access to proven management and technology research, expert advice, benchmarks, diagnostics and more. (gartner.com)
These conferences led to the development and subsequent revision of the Epilepsy Research Benchmarks , a series of goals for research toward cures for the epilepsies, defined as no seizures, no side effects, and the prevention of epilepsy in those at risk. (nih.gov)
The 2007 Benchmarks encompass a range of basic, translational, and clinical research priorities focused on understanding the causes of epilepsy, identifying strategies for preventing epileptogenesis, developing and improving epilepsy treatments, understanding and treating comorbid conditions affecting people with epilepsy, and understanding and ultimately preventing sudden unexpected death in epilepsy (SUDEP). (nih.gov)
The Benchmarks are meant to engage the entire epilepsy community in advancing research, including the NIH, NIH grantees and other researchers, epilepsy professional organizations, and the epilepsy patient community. (nih.gov)
The conference will include scientific sessions on major topics in the field and will culminate in a discussion of possible updates to the Epilepsy Research Benchmarks. (nih.gov)
What role the Epilepsy Research Benchmarks have played, or could play, in terms of promoting awareness of shared priorities and stimulating progress. (nih.gov)
As a result, attendees at the 2007 Conference met to evaluate the original Benchmarks and discuss new research directions. (nih.gov)

Thames Wateris using a recent benchmarking review to drive a transformation programme at the utilities company. (cio.com)

While acknowledging that there are many other excellent benchmarking tools out there, we've settled on using Basemark due to the tool's wide platform support. (gsmarena.com)

Sad to say, we don't have any single Thunderbolt SSD drive benchmarks run on our standard tool (QuickBench) to compare the Rugged drive to. (engadget.com)
Similarly, Basemark X is a cross-platform benchmarking tool, which is meant for evaluation and comparison of gaming and graphics performance for the same groups of mobile devices. (gsmarena.com)

We've run hundreds of GPU benchmarks on Nvidia, AMD, and Intel graphics cards and ranked them in our comprehensive hierarchy. (tomshardware.com)

With Privy's integration with Benchmark, you can automatically add your Privy leads from your exit intent popups and opt-in forms to the Benchmark Email list you choose. (benchmarkemail.com)

According to National Council on Measurement in Education, benchmark assessments are short assessments used by teachers at various times throughout the school year to monitor student progress in some area of the school curriculum. (wikipedia.org)
Class 2 and Class 3 benchmarks require parts to be built by challenge participants and submitted to an AM-Bench measurement team for evaluation of geometry and function. (nist.gov)
There is no single ideal benchmark for health equity measurement and it is important to weigh the advantages and disadvantages of each before selecting an approach. (rwjf.org)
There is no universal "best" approach to selecting a benchmark for health equity measurement. (rwjf.org)

Muscat: Energy Development Oman (EDO) SAOC is pleased to announce the successful completion of its inaugural benchmark Sukuk issuance of USD 1 billion. (zawya.com)

The plugins in this package run the simple image processing benchmarks that were in the Image/Benchmarks submenu in ImageJ 1.32a and earlier. (nih.gov)

Payers want to ascertain what they are paying for and compare what they are receiving to established acceptable outcomes or normative "benchmarks. (medscape.com)
In this study of standardized cataract procedures, Hahn and colleagues quantified 2 potential benchmarks for ascertaining quality outcomes: achieved final visual acuity, and deviation of the achieved refractive outcome from the intended refractive target. (medscape.com)
The initiatives of greatest relevance to England are probably those seeking to benchmark quality of care and outcomes in European countries. (rand.org)

The investigators proposed "benchmarks for outcome indicators of cataract surgery" of 80% ≤ 0.5 diopters residual refractive error and 87% ≥ 0.8% BCVA. (medscape.com)

Use SurveyMonkey Benchmarks to see where you stand compared to a global audience or others in your industry. (surveymonkey.com)
Think about why you are not benchmarking others in your industry. (selfgrowth.com)
It provides benchmarks for the pharmaceutical industry for various IT spending and staffing parameters. (gartner.com)

To find out if your organization holds a current license for a specific SPEC benchmark suite before purchasing it, please contact SPEC headquarters . (spec.org)
SPEC is a non-profit organization that establishes, maintains and endorses standardized benchmarks to evaluate performance for the newest generation of computing systems. (spec.org)

Oracle must take the blame for kicking up this benchmark storm. (eweek.com)

Given these recommended achieved percentages, 3 of 7 of the study sites and surgeons would fall below these arbitrarily selected "benchmarks" for both residual refractive error and BCVA. (medscape.com)
This study applied benchmarking strategies for monitoring safety climate across nine North Sea oil and gas installations that were surveyed in consecutive years. (nih.gov)

In case the copy you have has been edited, or if you are unsure if it is the latest version, we have a clean copy of the file here , plus an ini file which sets the standard benchmarking options. (povray.org)

SPECjvm2008 addresses critical performance issues facing today s Java server and client environments,'says Stefan Sarne, release manager for the new benchmark. (spec.org)

Over at Guru of 3D is a look at how well the new Basemark GPU benchmark utility is working 21 different GPUs from both AMD and NVIDIA. (pcper.com)

Responsibility for achieving goals highlighted by the Benchmarks is shared by all members of the broad epilepsy community. (nih.gov)

Why is benchmarking important? (surveymonkey.com)

This page puts together the Basemark benchmark scores for all the devices we've tested so far. (gsmarena.com)

Chemicals and Drugs1

Analytical, Diagnostic and Therapeutic Techniques and Equipment6

Phenomena and Processes1

Disciplines and Occupations4

Anthropology, Education, Sociology and Social Phenomena2

Technology, Industry, Agriculture2

Information Science10

Health Care26

Geographicals3

BAliBASE: a benchmark alignment database for the evaluation of multiple alignment programs. (1/1272)

Waking the health plan giant: Group Health Cooperative stops counting sheep and starts counting key tobacco indicators. (2/1272)

Patient waiting times in a physician's office. (3/1272)

Experience measuring performance improvement in multiphase picture archiving and communications systems implementations. (4/1272)

The philosophy of benchmark testing a standards-based picture archiving and communications system. (5/1272)

Benchmark testing the Digital Imaging Network-Picture Archiving and Communications System proposal of the Department of Defense. (6/1272)

The development of a quality information system: a case study of Mexico. (7/1272)

Inter-hospital comparison of mortality rates. (8/1272)

Benchmarking

Pathology Department, Hospital

Quality Indicators, Health Care

Oncology Service, Hospital

Algorithms

Software

Planning Techniques

Risk Adjustment

Quality Assurance, Health Care

Quality Improvement

Library Associations

Financial Audit

Sequence Analysis, Protein

Software Validation

Cancer Care Facilities

Efficiency, Organizational

Databases, Factual

Comprehensive Health Care

Hospitals

Pathology, Clinical

Computational Biology

Databases, Protein

Hospital Administration

Proteins

Total Quality Management

Organizational Objectives

Sequence Alignment

International Cooperation

Reproducibility of Results

Schools, Pharmacy

Germany

Certification

Computer Simulation

United States

Internet

Outcome Assessment (Health Care)

Diagnosis-Related Groups

Models, Statistical

User-Computer Interface

Consumer Satisfaction

Great Britain

Outcome and Process Assessment (Health Care)

Health Care Surveys

Quality Control

Data Collection

Quality of Health Care

BAliBASE: a benchmark alignment database for the evaluation of multiple alignment programs. (1/1272)

Waking the health plan giant: Group Health Cooperative stops counting sheep and starts counting key tobacco indicators. (2/1272)

Patient waiting times in a physician's office. (3/1272)

Experience measuring performance improvement in multiphase picture archiving and communications systems implementations. (4/1272)

The philosophy of benchmark testing a standards-based picture archiving and communications system. (5/1272)

Benchmark testing the Digital Imaging Network-Picture Archiving and Communications System proposal of the Department of Defense. (6/1272)

The development of a quality information system: a case study of Mexico. (7/1272)

Inter-hospital comparison of mortality rates. (8/1272)

Benchmark Litigation - The definitive guide to litigation firms and attorneys in the United States and Canada.

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About - Benchmark Email

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