P
Peter J. Haug
Researcher at Intermountain Healthcare
Publications - 186
Citations - 5702
Peter J. Haug is an academic researcher from Intermountain Healthcare. The author has contributed to research in topics: Decision support system & Health care. The author has an hindex of 40, co-authored 183 publications receiving 5285 citations. Previous affiliations of Peter J. Haug include LDS Hospital & University of Koblenz and Landau.
Papers
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Journal ArticleDOI
Hospital Workload and Adverse Events
Joel S. Weissman,Jeffrey M. Rothschild,Eran Bendavid,Peter Sprivulis,E. Francis Cook,R. Scott Evans,Yevgenia Kaganova,Melissa Bender,Jo Ann David-Kasdan,Peter J. Haug,Jim Lloyd,Leslie G. Selbovitz,Harvey J. Murff,David W. Bates +13 more
TL;DR: Hospitals that operate at or over capacity may experience heightened rates of patient safety events and might consider re-engineering the structures of care to respond better during periods of high stress.
Journal ArticleDOI
Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports
TL;DR: In extracting pneumonia related concepts from chest x-ray reports, the performance of the natural language processing system was similar to that of physicians and better than that of lay persons and keyword searches.
Journal ArticleDOI
Forecasting daily patient volumes in the emergency department.
Spencer S. Jones,Alun Thomas,R. Scott Evans,R. Scott Evans,Shari J. Welch,Peter J. Haug,Peter J. Haug,Gregory L. Snow +7 more
TL;DR: This study confirms the widely held belief that daily demand for ED services is characterized by seasonal and weekly patterns and concludes that regression-based models that incorporate calendar variables, account for site-specific special-day effects, and allow for residual autocorrelation provide a more appropriate, informative, and consistently accurate approach to forecasting daily ED patient volumes.
Journal ArticleDOI
Population-based family history-specific risks for colorectal cancer: a constellation approach.
David P. Taylor,Randall W. Burt,Randall W. Burt,Marc S. Williams,Peter J. Haug,Lisa A. Cannon Albright +5 more
TL;DR: Familiar relative risk (FRR) in probands with various combinations, or constellations, of affected relatives, extending to third-degree is reported, indicating increased numbers of affected FDRs influences risk much more than affected SDRs or TDRs.
Proceedings Article
The Arden Syntax for Medical Logic Modules.
TL;DR: The Arden Syntax for sharing medical knowledge bases is described, with a current focus is on knowledge that is represented as a set of independent modules that can provide therapeutic suggestions, alerts, diagnosis scores, etc.