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 2007
Physicians value patient review of their electronic health record data as a means to improve accuracy of medication list documentation.
Providers place great value on their patients as sources of clinical information. Patient access to and review of their medication list from their electronic health record prior to a visit may improve the accuracy of medication documentation.
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AMIA Annu Symp Proc · Jan 2007
Visualizing temporal patterns of demand, throughput and crowding in an emergency department.
Emergency department (ED) operational data were calculated at 10-minute intervals throughout 2006 (n = 52561) in the adult ED of an academic medical center. Several operational parameters per observation were measured to better understand temporal patterns of input, throughput, and output of medical services. This may allow for improvement of predictive models of overcrowding. Visualization of this dataset is structured by a calendar template, facilitating discovery of cyclic patterns at diurnal, weekly, and monthly scales.