16,492 research outputs found
Development and pilot of clinical performance indicators for English ambulance services
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
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
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
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
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Design and Benchmark Testing for Open Architecture Reconfigurable Mobile Spirometer and Exhaled Breath Monitor with GPS and Data Telemetry.
Portable and wearable medical instruments are poised to play an increasingly important role in health monitoring. Mobile spirometers are available commercially, and are used to monitor patients with advanced lung disease. However, these commercial monitors have a fixed product architecture determined by the manufacturer, and researchers cannot easily experiment with new configurations or add additional novel sensors over time. Spirometry combined with exhaled breath metabolite monitoring has the potential to transform healthcare and improve clinical management strategies. This research provides an updated design and benchmark testing for a flexible, portable, open access architecture to measure lung function, using common Arduino/Android microcontroller technologies. To demonstrate the feasibility and the proof-of-concept of this easily-adaptable platform technology, we had 43 subjects (healthy, and those with lung diseases) perform three spirometry maneuvers using our reconfigurable device and an office-based commercial spirometer. We found that our system compared favorably with the traditional spirometer, with high accuracy and agreement for forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC), and gas measurements were feasible. This provides an adaptable/reconfigurable open access "personalized medicine" platform for researchers and patients, and new chemical sensors and other modular instrumentation can extend the flexibility of the device in the future
Luther Midelfort Mayo Health System: Laying Tracks for Success
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.
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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