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Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm.

Ania SyrowatkaAvery PullmanElizabeth PajaresKyra WhiteMichael SainlaireJin ChenFrank ChangKrissy GrayJohn LaurentievWenyu SongTien ThaiLi ZhouStuart R LipsitzDavid W BatesLipika SamalPatricia C Dykes
Published in: Thrombosis research (2024)
This novel phenotyping algorithm offers an accurate approach for identifying incident VTE in general populations using EHR data and standard terminologies, and accurately identifies the specific encounter and date of diagnosis of the incident VTE. This approach can be used for measurement of incident VTE to drive quality improvement, research to expand the evidence, and development of quality metrics and clinical decision support to improve the diagnostic process.
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