Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

Practice Management and Professionalism


Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing


Murff HJ, FitzHenry F, Matheny ME, et al (Veterans Affairs Med Ctr, Nashville, TN; et al) JAMA 306:848-855, 2011§



M.F. Roizen, MD



Evidence Ranking


• B



Expert Rating


• 1



Abstract



Context


Currently most automated methods to identify patient safety occurrences rely on administrative data codes; however, free-text searches of electronic medical records could represent an additional surveillance approach.



Objective


To evaluate a natural language processing search–approach to identify postoperative surgical complications within a comprehensive electronic medical record.



Design, Setting, and Patients


Cross-sectional study involving 2974 patients undergoing inpatient surgical procedures at 6 Veterans Health Administration (VHA) medical centers from 1999 to 2006.

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Jan 28, 2017 | Posted by in ANESTHESIA | Comments Off on Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

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