title: Natural language processing to identify venous thromboembolic events.
abstract: The Agency for Healthcare Research and Quality (AHRQ) has promulgated patient safety indicators to identify potentially preventable adverse safety events, including venous thromboembolism (VTE). Identification of these events for quality reporting is commonly done with AHRQ-defined ICD9-CM codes. We tested a natural language processing service (NLP) as an alternative method of identification.
authors.affiliation: BJC HealthCare, Center for Healthcare Quality & Effectiveness, St. Louis, MO, USA.
authors.forename: Richard M
authors.initials: RM
authors.lastname: Reichley
authors.forename: Katherine E
authors.initials: KE
authors.lastname: Henderson
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Currie
authors.forename: Wm Claiborne
authors.initials: WC
authors.lastname: Dunagan
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Bailey
mesh_terms: D006801:Humans; D038801:International Classification of Diseases; D009323:Natural Language Processing; D014481:United States; D016270:United States Agency for Healthcare Research and Quality; D054556:Venous Thromboembolism / Q000175:diagnosis* / Q000517:prevention & control