Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63720, first published .
An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study

An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study

An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study

John Novoa-Laurentiev   1 , MS ;   Mica Bowen   1 , BA ;   Avery Pullman   1 , BS ;   Wenyu Song   1, 2 , PhD ;   Ania Syrowatka   1, 2 , PhD ;   Jin Chen   3 , PhD ;   Michael Sainlaire   1 , MS ;   Frank Chang   1 , MSE ;   Krissy Gray   4 , AAS ;   Purushottam Panta   4 , MS ;   Luwei Liu   1 , MS ;   Khalid Nawab   5, 6 , MD ;   Shadi Hijjawi   5, 6 , MBA, MD ;   Richard Schreiber   5, 7 , MD ;   Li Zhou   1, 2 , MD, PhD ;   Patricia C Dykes   1, 2 , RN, PhD

1 Department of Medicine, Brigham & Women's Hospital, Boston, MA, United States

2 Department of Medicine, Harvard Medical School, Boston, MA, United States

3 Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States

4 Department of Biomedical Informatics, University of Kentucky, Lexington, KY, United States

5 Department of Information Services, Penn State Health, Hershey, PA, United States

6 Department of Medicine, Penn State College of Medicine, Hershey, PA, United States

7 Department of Biomedical Informatics and Data Science, Johns Hopkins School of Medicine, Baltimore, MD, United States

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