AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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Maintaining critically-ill patients' blood glucose levels within the normoglycemic range has been shown to reduce mortality and morbidity, but it has not been achieved consistently using existing insulin infusion protocols. This study examines blood glucose monitoring in an intensive care unit (ICU) and how blood glucose levels change in response to therapy. Our findings confirm the commonly observed poor compliance of blood glucose levels and motivate for more effective glycemic control.
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AMIA Annu Symp Proc · Jan 2007
Using term frequency to identify trends in the media's coverage of health.
This poster describes a method of analyzing news reports to detect emerging trends in the media's coverage of health. The method examines term frequency and term usage in overall and health-specific news coverage. Term frequency calculation and analysis algorithms have been implemented in SalientNews, a news aggregation and analysis system. By using term frequency, SalientNews is now able to assist in the identification and analysis of emerging trends in the media's coverage of health.
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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
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.