Natural language processing to identify venous thromboembolic events
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Updated: Jul 2, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
Published on: June 2, 2015
Richard M Reichley1, Katherine E Henderson, Anne-Marie Currie
1BJC HealthCare, Center for Healthcare Quality & Effectiveness, St. Louis, MO, USA.
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.
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