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Article

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

Thrombosis research - 1 Nov 2024

Syrowatka Ania, Pullman Avery, Pajares Elizabeth, White Kyra, Sainlaire Michael, Chen Jin, Chang Frank, Gray Krissy, Laurentiev John, Song Wenyu, Thai Tien, Zhou Li, Lipsitz Stuart R, Bates David W, Samal Lipika, Dykes Patricia C

Abstract excerpt

BACKGROUND: Accurate identification of incident venous thromboembolism (VTE) for quality improvement and health services research is challenging. The purpose of this study was to evaluate the performance of a novel incident VTE phenotyping algorithm defined using standard terminologies, requiring three key indicators documented in the electronic health record (EHR): VTE diagnostic code, VTE-related imaging...

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PMID: 39303403
DOI: 10.1016/j.thromres.2024.109143

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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