AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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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.
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AMIA Annu Symp Proc · Jan 2006
A novel method for the efficient retrieval of similar multiparameter physiologic time series using wavelet-based symbolic representations.
An important challenge in data mining is in identifying "similar" temporal patterns that may illuminate hidden information in a database of time series. We are actively engaged in the development of a temporal database of several thousand ICU patient records that contains time-varying physiologic measurements recorded over each patient's ICU stay. The discovery of multiparameter temporal patterns that are predictive of physiologic instability may aid clinicians in optimizing care for critically-ill patients. ⋯ The results of this study demonstrate that similarities between different patient time series may have meaningful physiologic interpretations in the detection of impending hemodynamic deterioration. Thus, our framework may be of potential use in clinical decision-support systems. As a generalized time series similarity metric, the algorithms that are described have applications in several other domains as well.
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AMIA Annu Symp Proc · Jan 2006
Comparative StudyThe effects of Computerized Provider Order Entry on medication turn-around time: a time-to-first dose study at the Providence Portland Medical Center.
As the Providence Health System is phasing in its Computerized Provider Order Entry (CPOE) system at the Providence Portland Medical Center, we conducted a study to demonstrate the effects of CPOE on medication turn-around time. Retrospectively, we tracked and compared medication orders that were placed via the existing paper-based system and the CPOE system. The results of this study coincide with, and confirm, previous research that has been performed at large academic medical centers.