AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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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.
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AMIA Annu Symp Proc · Jan 2006
ReviewDeterminants of success for computerized clinical decision support systems integrated in CPOE systems: a systematic review.
We carried out a systematic review of published trials to identify the methodological characteristics of studies and technical characteristics of computerized clinical decision support systems (CCDSSs) associated with efficacy for the main outcome of the study. Four characteristics of the content of decision support and the way in which the user is provided with assistance seem to be associated with the success of CCDSSs: a) System-initiated interventions, b) Assistance without user control over output, c) Systems in which data are automatically retrieved from the electronic medical record and d) Systems providing corollary actions in CPOE. Major differences in outcome reporting between studies could be reduced by the use of dedicated tools to standardize methodological reporting.
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AMIA Annu Symp Proc · Jan 2006
Randomized Controlled TrialA computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside.
To assess the effect of a computerized decision support system (CDSS) on the accuracy of patient temperature recording at the bed side. ⋯ CDSS are effective with nursing personnel in improving the accuracy of temperature capture at the bedside.