AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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STAndards for Reporting of Diagnostic Accuracy (STARD) were published in 2003 and endorsed by some journals but not others. ⋯ In MEDLINE, no differences in indexing quality were found for STARD and non-STARD journals before or after the STARD statement was published in 2003. In EMBASE, indexing in STARD journals improved compared with non-STARD journals (p = 0.02). However, articles in STARD journals had half the number of accurate indexing terms as articles in non-STARD journals, both before and after STARD statement publication (p < 0.001).
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AMIA Annu Symp Proc · Jan 2007
Encouraging change in anesthesiology practice through electronic feedback to physicians: results from prototype system.
Implementation of best care practices is difficult because the status quo is often perpetuated; many providers treat patients based on anecdotal experience rather than evidence-based medicine. Our goal was to develop and evaluate an electronic feedback system that feeds back practice and outcome data combined with educational material to anesthesiologists. Best care practices for postoperative nausea/vomiting (PONV) control were selected to evaluate this system because PONV is a common outcome and guidelines have been published.
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This research proposes a comprehensive Information Conceptual Model for a Mass Casualty Continuum of Care. The conceptual model lays out the key relationships among entities/factors in mass casualty events needed to provide real-time visibility of data that track patients, personnel, resources and potential hazards to improve responders situational awareness. Validation of the model is being done using Delphi techniques that establish consensus among a panel of experts.
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AMIA Annu Symp Proc · Jan 2007
Utility of commonly captured data from an EHR to identify hospitalized patients at risk for clinical deterioration.
Rapid Response Teams (RRTs) respond to critically ill patients in the hospital. Activation of RRTs is highly subjective and misses a proportion of at-risk patients. We created an automated scoring system for non-ICU inpatients based on readily available electronic vital signs data, age, and body mass index. ⋯ Using a cutoff score of 4 or greater would result in identification of an additional 20 patients over the 7 patients identified by the current method of RRT activation. The area under the Receiver Operating Curve for the prediction model was 0.72 which compared favorably to other scoring systems. An electronic scoring system using readily captured EMR data may improve identification of patients at risk for clinical deterioration.
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AMIA Annu Symp Proc · Jan 2007
The Acute Respiratory Infection Quality Dashboard: a performance measurement reporting tool in an electronic health record.
Quality reporting tools, integrated with electronic health records, can help clinicians understand performance, manage populations, and improve quality. The Acute Respiratory Infection Quality Dashboard (ARI QD) for LMR users is a secure web report for performance measurement of an acute condition delivered through a central data warehouse and custom-built reporting tool. Pilot evaluation of the ARI QD indicates that clinicians prefer a quality report that combines not only structured data regarding diagnosis and antibiotic prescribing rates entered into EHRs but one that also shows billing data. The ARI QD has the potential to reduce inappropriate antibiotic prescribing for ARIs.