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- Title
Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing.
- Authors
Murff, Harvey J.; FitzHenry, Fern; Matheny, Michael E.; Gentry, Nancy; Kotter, Kristen L.; Crimin, Kimberly; Dittus, Robert S.; Rosen, Amy K.; Elkin, Peter L.; Brown, Steven H.; Speroff, Theodore
- Abstract
The article assesses a natural language processing search-approach designed to identify postoperative surgical complications within an electronic medical record. As part of the U.S. Department of Veterans Administration (VA) Surgical Quality Improvement Program, medical records of postoperative occurrences of acute renal failure, sepsis, myocardial infarction and other conditions were reviewed. Findings reveal that among surgical patients in VA medical centers, natural language processing analysis of electronic medical records for the purpose of identifying postoperative complications has higher sensitivity than analysis conducted based on discharge coding.
- Subjects
UNITED States; SURGICAL complications; ELECTRONIC health records; NATURAL language processing; UNITED States. Dept. of Veterans Affairs; MYOCARDIAL infarction; ACUTE kidney failure
- Publication
JAMA: Journal of the American Medical Association, 2011, Vol 306, Issue 8, p848
- ISSN
0098-7484
- Publication type
Article
- DOI
10.1001/jama.2011.1204