AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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Predicting hospital admission for Emergency Department (ED) patients at the time of triage may improve throughput. To predict admission we created and validated a Bayesian Network from 47,993 encounters (training: n=23,996, validation: n=9,599, test: n=14,398). The area under the receiver operator characteristic curve was 0.833 (0.8260.840) for the network and 0.790 (0.7810.799) for the control variable (acuity only). Predicting hospital admission early during an encounter may help anticipate ED workload and potential overcrowding.
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AMIA Annu Symp Proc · Jan 2007
A computing platform to support communication and sense-making in intensive care.
We developed a conceptual design of a mobile computing platform to support multi-disciplinary rounds in intensive care units.
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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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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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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.