This paper is in the following e-collection/theme issue:

Natural Language Processing (887) Electronic Health Records (1291) Cardiovascular Disease Prevention (199) Clinical Informatics (1287) Computer-Aided Diagnosis (238)

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

Authors of this article:

John Novoa-Laurentiev1 Author Orcid Image ;   Mica Bowen1 Author Orcid Image ;   Avery Pullman1 Author Orcid Image ;   Wenyu Song1, 2 Author Orcid Image ;   Ania Syrowatka1, 2 Author Orcid Image ;   Jin Chen3 Author Orcid Image ;   Michael Sainlaire1 ;   Frank Chang1 Author Orcid Image ;   Krissy Gray4 Author Orcid Image ;   Purushottam Panta4 Author Orcid Image ;   Luwei Liu1 Author Orcid Image ;   Khalid Nawab5, 6 Author Orcid Image ;   Shadi Hijjawi5, 6 Author Orcid Image ;   Richard Schreiber5, 7 Author Orcid Image ;   Li Zhou1, 2 Author Orcid Image ;   Patricia C Dykes1, 2 Author Orcid Image
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Journals

  1. Prasad S, Dykes P, Schreiber R, Hijjawi S, Nawab K, Kim A, Lipsitz S, Syrowatka A, Samal L, Bates D, Baris V, Thai T, Sainlaire M, Chang F, Novoa‐Laurentiev J, Piazza G, Song W. Development of an Algorithm for Estimating the Likelihood of Venous Thromboembolism in Primary Care Using Structured and Unstructured Electronic Health Record Data. American Journal of Hematology 2025 View