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

Machine Learning (3110) Clinical Informatics (2203) Clinical Information and Decision Making (3618) Artificial Intelligence (4644) Precision Medicine (430) Data Science (692)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81048, first published .
Doctor holding prescription bottle while typing on laptop

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

Authors of this article:

Mohammad Yaseliani1 Author Orcid Image ;   Je-Won Hong2 Author Orcid Image ;   Jiang Bian3, 4 Author Orcid Image ;   Larisa Cavallari2, 5 Author Orcid Image ;   Julio D Duarte2, 5 Author Orcid Image ;   Danielle Nelson6 Author Orcid Image ;   Wei-Hsuan Lo-Ciganic7, 8, 9 Author Orcid Image ;   Khoa Anh Nguyen2 Author Orcid Image ;   Md Mahmudul Hasan1, 10 Author Orcid Image
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Journals

  1. Jiang W, Wang Y, Shi W, Li C, Li M, Tang Y, Yue X, Zhao Z, Bardhan M. Artificial Intelligence in Clinical Pharmacy: From Decision Support to Prescription Execution. Journal of Clinical Pharmacy and Therapeutics 2026;2026(1) View