Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

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Bibliographic Details
Title: Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.
Authors: Shi J; School of Medicine, University of Utah, Salt Lake City, Utah, US., Liu S; School of Medicine, University of Utah, Salt Lake City, Utah, US., Pruitt LCC; School of Medicine, University of Utah, Salt Lake City, Utah, US., Luppens CL; School of Medicine, University of Utah, Salt Lake City, Utah, US., Ferraro JP; School of Medicine, University of Utah, Salt Lake City, Utah, US.; Intermountain Healthcare, Salt Lake City, Utah, US., Gundlapalli AV; School of Medicine, University of Utah, Salt Lake City, Utah, US.; VA Salt Lake City Healthcare System, IDEAS Center 2.0, Salt Lake City, Utah, US., Chapman WW; School of Medicine, University of Utah, Salt Lake City, Utah, US., Bucher BT; School of Medicine, University of Utah, Salt Lake City, Utah, US.
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2020 Mar 04; Vol. 2019, pp. 794-803. Date of Electronic Publication: 2020 Mar 04 (Print Publication: 2019).
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.
Journal Info: Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1942-597X