Benchmarking: Method of measuring performance against established standards of best practice.Pathology Department, Hospital: Hospital department which administers and provides pathology services.Quality Indicators, Health Care: Norms, criteria, standards, and other direct qualitative and quantitative measures used in determining the quality of health care.Oncology Service, Hospital: The hospital department responsible for the administration and provision of diagnostic and therapeutic services for the cancer patient.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Software: Sequential operating programs and data which instruct the functioning of a digital computer.Planning Techniques: Procedures, strategies, and theories of planning.Risk Adjustment: 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)Quality Assurance, Health Care: 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.Quality Improvement: The attainment or process of attaining a new level of performance or quality.Library AssociationsFinancial Audit: An examination, review and verification of all financial accounts.Sequence Analysis, Protein: 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.Software Validation: The act of testing the software for compliance with a standard.Cancer Care Facilities: Institutions specializing in the care of cancer patients.Efficiency, Organizational: The capacity of an organization, institution, or business to produce desired results with a minimum expenditure of energy, time, money, personnel, materiel, etc.Databases, Factual: 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.Comprehensive Health Care: Providing for the full range of personal health services for diagnosis, treatment, follow-up and rehabilitation of patients.Hospitals: Institutions with an organized medical staff which provide medical care to patients.Pathology, Clinical: A subspecialty of pathology applied to the solution of clinical problems, especially the use of laboratory methods in clinical diagnosis. (Dorland, 28th ed.)Computational Biology: 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, Protein: Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.Hospital Administration: Management of the internal organization of the hospital.Proteins: 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.Total Quality Management: 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.Organizational Objectives: 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.Sequence Alignment: 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.International Cooperation: The interaction of persons or groups of persons representing various nations in the pursuit of a common goal or interest.Reproducibility of Results: 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.Schools, Pharmacy: Educational institutions for individuals specializing in the field of pharmacy.GermanyCertification: 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 Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.United StatesInternet: 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.Outcome Assessment (Health Care): 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).Diagnosis-Related Groups: 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.Models, Statistical: 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.User-Computer Interface: The portion of an interactive computer program that issues messages to and receives commands from a user.Consumer Satisfaction: Customer satisfaction or dissatisfaction with a benefit or service received.Great BritainOutcome and Process Assessment (Health Care): 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.Health Care Surveys: Statistical measures of utilization and other aspects of the provision of health care services including hospitalization and ambulatory care.Quality Control: 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)Data Collection: 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.Quality of Health Care: The levels of excellence which characterize the health service or health care provided based on accepted standards of quality.

*  First Call Resolution Benchmarking Survey

Benchmarking Opportunity. Measuring First Contact Resolution. Do you track First Contact Resolution? For many industries, First ... benchmarking, and best practice discovery, and a leading publisher of customer service journals and reports. If you have any ...

*  Repository: benchmark

benchmark. Octave-Forge A collection of packages providing extra functionality for GNU Octave Brought to you by: adb014, ...

*  Solomon Associates Launches Butadiene Benchmarking Study

Solomon Associates' Comparative Performance Analysis™ (CPA™) series of benchmarking products is an integral part of its overall ... Solomon Associates' Comparative Performance Analysis™ (CPA™) series of benchmarking products is an integral part of its overall ...

*  Cbench - Scalable Cluster Benchmarking / News / Search

Cbench - Scalable Cluster Benchmarking Brought to you by: cashmont, mr_ep, sonicsoft70 ...

*  BPA Benchmarking Report | National Archives

BPA Benchmarking Report. 2.5 Central Intelligence Agency: Electronic Recordkeeping System (ERKS) Requirements and Certification ... Home , National Archives Records Management Information Page , Records Management Policy and Guidance , BPA Benchmarking Report ...

*  Benchmarking | Define Benchmarking at

The new hotel is a benchmark in opulence and comfort. See more. ... benchmark. n. also bench-mark, "surveyor's point of reference ... Benchmarking definition, a standard of excellence, achievement, etc., against which similar things must be measured or judged: ... of, relating to, or resulting in a benchmark: benchmark test, benchmark study. ... to measure or test against a benchmark: the firm benchmarked its pay against that in industry ...

*  Benchmarking Say

My problem is that cmp_these command from Benchmark prints the results to STDOUT. Probably I should complain to the author and ...

*  Benchmarking update

Benchmark Settings. F.E.A.R. allows you test the video settings with a mini-benchmark involving a lot of weapon firing, ... After the benchmark is run, you're presented with a screen showing your minimum, average and maximum framerates and also ... It seems only the Aopen 7800GTX SLI can keep the framerate above 25 during the benchmark at 1280x1024. Even so, we see that the ...

*  Benchmarking Mobile Phones & Devices - Phoronix Forums

Phoronix: Benchmarking Mobile Phones & Devices. It was just a week ago that we confirmed the Phoronix Test Suite is being ... You guys know of any company who makes tools for Android benchmarking. Any information will be appreciated. ... and that was image quality comparison and analysis support to take our benchmarking software to the next level. Today we are ...

*  Prestazioni e benchmark - Fujitsu Italy

Record benchmark sui sistemi. SPECfp_base2006 - PRIMERGY BX924 S3. 06-03-2012 Miglior server dual socket con processore Intel ... Prestazioni e benchmark Report sulle prestazioni di PRIMERGY BX900. Report sulle prestazioni. PRIMERGY BX900 S1. PRIMERGY BX960 ... Report benchmark sulla virtualizzazione VMmark V1 - PRIMERGY BX960 S1. 19-10-2010 miglior server blade nella categoria "16 core ... Report benchmark sulle applicazioni. SAP SD 2-Tier - PRIMERGY BX922 S2. 25-03-2010 Miglior server dual socket. ...

*  Benchmarking in healthcare: management tool or mechanism of governance? - PDF

Benchmarking in healthcare: management tool or mechanism of governance? Thesis presented by Silvia Zett to The Class of Social Sciences for the degree of Doctor of Philosophy in the subject of International

*  erlang-questions] [ANN] Silly benchmarking

wrote: , And here's my unfinished benchmarking project: , , , This looks quite big and unusual compared to others. Can you explain what you calibrate, and what is the purpose of sending a message many times to a dead process? Does it have some well-defined behavior in the virtual machine? It was not obvious from a 5-minute peek at the source, so an answer might save time for others. Thanks, Motiejus ...

*  UNM Scalable Systems Laboratory

Fault-tolerance is rapidly becoming a first-class design objective for sustainable high-performance computing. Realistic evaluation of systems and applications at extreme scale requires consideration of their resilience characteristics. Accurate, flexible, and sophisticated fault-aware benchmarking will only become more important as energy budgets for future machines shrink; as data-centric computing must account for deep and complex memory hierarchies; and as coupled analytics and workflows integrate traditional HPC resources into solutions for new problem domains. Classical HPC benchmarks, conceived in an era with infrequent failures and emphasizing floating-point performance, will not provide the right type of information needed to evaluate resilience strategies for future exascale applications and systems. Our research reconsiders benchmarking of large-scale computations for the coming era in which the impact of fault-tolerance strategies will be critical.. We pursue two ...

*  Buggy X Drivers Blocking Hardware Acceleration In Firefox For Linux | Tux Machines

Phoronix have been hard at work testing out AMD's new server chip, specifically the 2.2/2.7/3.2GHz EPYC 7601 with 32 physical cores. The frequency numbers now have a third member which is the top frequency all 32 cores can hit simultaneously, for this processor that would be 2.7GHz. Benchmarking server processors is somewhat different from testing consumer CPUs, gaming performance is not as important as dealing with specific productivity applications. Phoronix started their testing of EPYC, in both NUMA and non-NUMA configurations, comparing against several Xeon models and the performance delta is quite impressive, sometimes leaving even a system with dual Xeon Gold 6138's in the dust. They also followed up with a look at how EPYC compares to Opteron, AMD's last server offerings. The evolution is something to behold ...

*  3DMark 03 340 Patch | Shacknews

A new patch for 3DMark 03 has been released, updating Futuremark's benchmarking program to 340. There are several changes, including "more detailed and accurate system information and improved detection of hyperthreaded CPUs".. ...

*  TIME Magazine: 'Does the Death of 200 Cows in Wisconsin Confirm Biblical Prophecy?' - Atheist Nexus

Spoiler: No. Seriously Time? Wtf kind of reporting is this? For a number of Christian theologians, it's enough to suggest the end of days is near. Shoc…

*  Fujitsu : "K computer" No. 1 in Four Benchmarks at HPC Challenge Awards | 4-Traders

November 16, 2011 RIKEN University of Tsukuba Fujitsu Limited In addition to LINPACK, demonstrates high performance in all... | novembre 16, 2011


I I', What is the nee of this impetuous haste? I that there. 'is la no deficient kind ' -material one 'direction and by i 1t the earlier part of my m d co. I said, "I know that you are not md- ...

*  EconPapers: Michael J. Dueker

The links between different versions of a paper are constructed automatically by matching on the titles. Please contact if a link is incorrect. Use this form to add links between versions where the titles do not match ...

Warwick Corvette: Warwick Corvette is a line of bass guitars manufactured by the German Warwick bass company. The Corvette is one of the most popular Warwick basses.Clonal Selection Algorithm: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.Mac OS X Server 1.0Henry Charlton Bastian: Henry Charlton Bastian (26 April 1837 in Truro, Cornwall, England – 17 November 1915 in Chesham Bois, Buckinghamshire) was an English physiologist and neurologist. Fellow of Royal Society in 1868.Shareholder rebellion: Shareholder rebellion occurs when the owners of a corporation work to throw out management or oppose their decisions. Shareholder rebellion may occur at a corporate annual meeting or through a proxy battle.Protein subcellular localization prediction: Protein subcellular localization prediction (or just protein localization prediction) involves the computational prediction of where a protein resides in a cell.Jigsaw (power tool): A jigsaw power tool is a jigsaw made up of an electric motor and a reciprocating saw blade.Acharya Harihar Regional Cancer Centre: Acharya Harihar Regional Cancer Centre is a cancer care hospital in Cuttack, India. It is one of the 25 recognized Regional Cancer Centres in India.Toyota NZ engine: The Toyota NZ engine family is a straight-4 piston engine series. The 1NZ series uses aluminum engine blocks and DOHC cylinder heads.Eggs per gram: Eggs per gram (EPG) is a laboratory test that determines the number of eggs per gram of feces in patients suspected of having a parasitological infection, such as schistosomiasis. EPG is the primary diagnostic method for schistosomiasis, as opposed to a blood test.PSI Protein Classifier: PSI Protein Classifier is a program generalizing the results of both successive and independent iterations of the PSI-BLAST program. PSI Protein Classifier determines belonging of the found by PSI-BLAST proteins to the known families.Human Proteinpedia: Human Proteinpedia is a portal for sharing and integration of human proteomic data,.Kandasamy et al.Lattice protein: Lattice proteins are highly simplified computer models of proteins which are used to investigate protein folding.HydrosilaCS-BLASTInternational Network of Prison Ministries: The International Network of Prison Ministries (INPM) is a Dallas, Texas based crime prevention and rehabilitation trans-national organization. INPM functions through a website that serves as a clearinghouse for information about various Christian prison ministries.Generalizability theory: Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.Baden, Lower Saxony: Baden is a town near Bremen, in Lower Saxony, Germany. It is known to Africanists and Phoneticians as the place where Diedrich Hermann Westermann was born and died.Oncology Nursing Certification Corporation: The Oncology Nursing Certification Corporation (ONCC) was established for the development, administration, and evaluation of a program for certification in oncology nursing. Incorporated in 1984 and governed by a board of directors, ONCC is the certifying body for oncology nursing and meets standards established by the Accreditation Board for Specialty Nursing Certification and the National Commission for Certifying Agencies.Interval boundary element method: Interval boundary element method is classical boundary element method with the interval parameters.
List of Parliamentary constituencies in Kent: The ceremonial county of Kent,Internet organizations: This is a list of Internet organizations, or organizations that play or played a key role in the evolution of the Internet by developing recommendations, standards, and technology; deploying infrastructure and services; and addressing other major issues.Diagnosis-related group: Diagnosis-related group (DRG) is a system to classify hospital cases into one of originally 467 groups,Mistichelli, Judith Diagnosis Related Groups (DRGs) and the Prospective Payment System: Forecasting Social Implications with the last group (coded as 470 through v24, 999 thereafter) being "Ungroupable". This system of classification was developed as a collaborative project by Robert B Fetter, PhD, of the Yale School of Management, and John D.Inverse probability weighting: Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application.Immersive technologyBeef aging: Beef aging is a process of preparing beef for consumption, mainly by breaking down the connective tissue.National Cancer Research Institute: The National Cancer Research Institute (NCRI) is a UK-wide partnership between cancer research funders, which promotes collaboration in cancer research. Its member organizations work together to maximize the value and benefit of cancer research for the benefit of patients and the public.Analytical quality control: Analytical quality control, commonly shortened to AQC refers to all those processes and procedures designed to ensure that the results of laboratory analysis are consistent, comparable, accurate and within specified limits of precision.analytical quality control (AQC) program to ensure the highest level of confidence in reported data Constituents submitted to the analytical laboratory must be accurately described to avoid faulty interpretations, approximations, or incorrect results.

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

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.  (+info)

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

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)

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

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)

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

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)

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

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)

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

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)

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

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)

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

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)


  • Effective 1 January 2017, ASX is the new Bank Bill Swap (BBSW) benchmark rate administrator. (
  • We are pleased to invite you to participate in the 2017 Warranty Chain Management Benchmark Survey Update conducted by Strategies For Growth℠ . (


  • TPC, TPC Benchmark, TPC-E e tpsE sono marchi di Transaction Processing Performance Council . (
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consulting firm

  • The Ascent Group is a management consulting firm with extensive experience in customer service and call center performance improvement, benchmarking, and best practice discovery, and a leading publisher of customer service journals and reports. (



  • IT benchmarked the new software. (
  • It was just a week ago that we confirmed the Phoronix Test Suite is being ported to Windows, then on Monday delivered Phoronix Test Suite 2.2, and a day after that announced a major advancement for Phoronix Test Suite 2.4 'Lenvik' and that was image quality comparison and analysis support to take our benchmarking software to the next level. (


  • Solomon Associates' Comparative Performance Analysis™ (CPA™) series of benchmarking products is an integral part of its overall offering of consulting services, all designed to assist manufacturers in maximizing the performance of their assets. (


  • Of course, Macs showing up in benchmarks isn't always an indicator of new devices appearing in stores. (


  • For general enquiries about the BBSW benchmark, please call ASX Customer Service on 131 279 (within Australia) or +612 9338 0000 (outside Australia). (
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  • F.E.A.R. allows you test the video settings with a mini-benchmark involving a lot of weapon firing, explosions and several other effects. (


  • Users will need to navigate through the GUI to the benchmark button ("More actions. (


  • My problem is that cmp_these command from Benchmark prints the results to STDOUT. (


  • The current price for crude oil may become the benchmark. (