16,492 research outputs found

    Development and pilot of clinical performance indicators for English ambulance services

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    Introduction: There is a compelling need to develop clinical performance indicators for ambulance services in order to move from indicators based primarily on response times and in light of the changing clinical demands on services. We report on progress on the national pilot of clinical performance indicators for English ambulance services. Method: Clinical performance indicators were developed in five clinical areas: acute myocardial infarction, cardiac arrest, stroke (including transient ischaemic attack), asthma and hypoglycaemia. These were determined on the basis of common acute conditions presenting to ambulance services and in line with a previously published framework. Indicators were piloted by ambulance services in England and results were presented in tables and graphically using funnel (statistical process control) plots. Results: Progress for developing, agreeing and piloting of indicators has been rapid, from initial agreement in May 2007 to completion of the pilot phase by the end of March 2008. The results of benchmarking of indicators are shown. The pilot has informed services in deciding the focus of their improvement programme in 2008 and 2009 and indicators have been adopted for national performance assessment of standards of prehospital care. Conclusion: The pilot will provide the basis for further development of clinical indicators, benchmarking of performance and implementation of specific evidencebased interventions to improve care in areas identified for improvement. A national performance improvement registry will enable evaluation and sharing of effective improvement methods as well as increasing stakeholder and public access to information on the quality of care provided by ambulance services

    AI and OR in management of operations: history and trends

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    The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context for the survey through a historical perspective of OR and AI. An extensive survey of applications of AI techniques for operations management, covering a total of over 1200 papers published from 1995 to 2004 is then presented. The survey utilizes Elsevier's ScienceDirect database as a source. Hence, the survey may not cover all the relevant journals but includes a sufficiently wide range of publications to make it representative of the research in the field. The papers are categorized into four areas of operations management: (a) design, (b) scheduling, (c) process planning and control and (d) quality, maintenance and fault diagnosis. Each of the four areas is categorized in terms of the AI techniques used: genetic algorithms, case-based reasoning, knowledge-based systems, fuzzy logic and hybrid techniques. The trends over the last decade are identified, discussed with respect to expected trends and directions for future work suggested

    How Registries Can Help Performance Measurement Improve Care

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    Suggests ways to better utilize databases of clinical information to evaluate care processes and outcomes and improve measurements of healthcare quality and costs, comparative clinical effectiveness research, and medical product safety surveillance

    Mayo Clinic: Multidisciplinary Teamwork, Physician-Led Governance, and Patient-Centered Culture Drive World-Class Health Care

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    Describes Fund-defined attributes of an ideal care delivery system, Mayo's model of multidisciplinary practice with salary-based compensation, and best practices, including a shared electronic health record and innovations to implement research quickly

    Luther Midelfort Mayo Health System: Laying Tracks for Success

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    Describes strategies for establishing a culture of experimentation, including creating interdisciplinary teams to decide the content of care and providing timely measurement and feedback

    Discussing uncertainty and risk in primary care: recommendations of a multi-disciplinary panel regarding communication around prostate cancer screening.

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    BackgroundShared decision making improves value-concordant decision-making around prostate cancer screening (PrCS). Yet, PrCS discussions remain complex, challenging and often emotional for physicians and average-risk men.ObjectiveIn July 2011, the Centers for Disease Control and Prevention convened a multidisciplinary expert panel to identify priorities for funding agencies and development groups to promote evidence-based, value-concordant decisions between men at average risk for prostate cancer and their physicians.DesignTwo-day multidisciplinary expert panel in Atlanta, Georgia, with structured discussions and formal consensus processes.ParticipantsSixteen panelists represented diverse specialties (primary care, medical oncology, urology), disciplines (sociology, communication, medical education, clinical epidemiology) and market sectors (patient advocacy groups, Federal funding agencies, guideline-development organizations).Main measuresPanelists used guiding interactional and evaluation models to identify and rate strategies that might improve PrCS discussions and decisions for physicians, patients and health systems/society. Efficacy was defined as the likelihood of each strategy to impact outcomes. Effort was defined as the relative amount of effort to develop, implement and sustain the strategy. Each strategy was rated (1-7 scale; 7 = maximum) using group process software (ThinkTank(TM)). For each group, intervention strategies were grouped as financial/regulatory, educational, communication or attitudinal levers. For each strategy, barriers were identified.Key resultsHighly ranked strategies to improve value-concordant shared decision-making (SDM) included: changing outpatient clinic visit reimbursement to reward SDM; development of evidence-based, technology-assisted, point-of-service tools for physicians and patients; reframing confusing prostate cancer screening messages; providing pre-visit decision support interventions; utilizing electronic health records to promote benchmarking/best practices; providing additional training for physicians around value-concordant decision-making; and using re-accreditation to promote training.ConclusionsConference outcomes present an expert consensus of strategies likely to improve value-concordant prostate cancer screening decisions. In addition, the methodology used to obtain agreement provides a model of successful collaboration around this and future controversial cancer screening issues, which may be of interest to funding agencies, educators and policy makers
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