AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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AMIA Annu Symp Proc · Jan 2006
Comparative StudyEvaluating the safety and efficiency of a CPOE system for continuous medication infusions in a pediatric ICU.
Critically ill children often require continuous intravenous infusions of life-supporting medications. The complexity of ordering such infusions makes this an error prone process, and such errors can result in serious adverse events. A CPOE system was developed and evaluated to assess its impact on the safety and efficiency of prescribing continuous medication infusions.
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AMIA Annu Symp Proc · Jan 2006
An early warning system for overcrowding in the emergency department.
Overcrowding of emergency departments impedes health care access and quality nationwide. A real-time early warning system for overcrowding may allow administrators to alleviate the problem before reaching a crisis state. Two original probabilistic models - a logistic regression and a recurrent neural network - were created to predict overcrowding crises one hour in the future. ⋯ All models showed high discriminatory ability in terms of area under the receiver operating characteristic curve (logistic regression = .954; recurrent neural network = .957; EDWIN = .879; NEDOCS = .924). At comparable rates of false alarms, the logistic regression gave more advance notice of crises than other models (logistic regression = 62 min; recurrent neural network = 13 min; EDWIN = 0 min; NEDOCS = 0 min). These results demonstrate the feasibility of using models based on key operational variables to anticipate overcrowding crises in real time.
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AMIA Annu Symp Proc · Jan 2006
Prospective evaluation of a closed-loop, computerized reminder system for pneumococcal vaccination in the emergency department.
The Emergency Department is a suitable but challenging environment to implement a sustainable pneumococcal vaccination program. To increase vaccination rates for patients > or equal to 65 years old, we prospectively evaluated a closed-loop informatics approach over a 6-week study period. Among the 572 candidate patients, 284 were up-to-date with vaccination, 187 patients refused vaccination, 65 physicians declined to order the vaccine, and 28 patients received the vaccine during the ED visit. The informatics approach increased vaccination rate from a baseline of 49.8% to 54.9% (p < 0.01).
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AMIA Annu Symp Proc · Jan 2006
Combining image features, case descriptions and UMLS concepts to improve retrieval of medical images.
This paper evaluates a system, UBMedTIRS, for retrieval of medical images. The system uses a combination of image and text features as well as mapping of free text to UMLS concepts. ⋯ Our experimental results indicate that the proposed approach yields significant improvements in retrieval performance. Our system performs 156% above the GIFT system and 42% above the text retrieval system.
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AMIA Annu Symp Proc · Jan 2006
Predicting hospital admission in a pediatric Emergency Department using an Artificial Neural Network.
Hospital admission delays in the Emergency Department (ED) reduce capacity and contribute to the ED's diversion problem. We evaluated the accuracy of an Artificial Neural Network for the early prediction of hospital admission using data from 43,077 pediatric ED encounters. ⋯ The area under the receiver operating characteristic curve was 0.897 (95% CI: 0.887-0.896). The instrument demonstrated high accuracy and may be used to alert clinicians to initiate admission processes earlier during a patient's ED encounter.