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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

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.

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.

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.