Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81048, first published .
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

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

Mohammad Yaseliani   1 , MSc ;   Je-Won Hong   2 , PharmD ;   Jiang Bian   3, 4 , MS, PhD ;   Larisa Cavallari   2, 5 , PharmD ;   Julio D Duarte   2, 5 , PharmD, PhD ;   Danielle Nelson   6 , MPH, MD ;   Wei-Hsuan Lo-Ciganic   7, 8, 9 , MSPharm, MS, PhD ;   Khoa Anh Nguyen   2 * , PharmD ;   Md Mahmudul Hasan   1, 10 * , PhD

1 Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, United States

2 Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States

3 Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, United States

4 Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States

5 Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States

6 College of Medicine, University of Florida, Gainesville, FL, United States

7 Division of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States

8 Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, United States

9 Geriatric Research Education and Clinical Center, North Florida/South Georgia Veterans Health System, Gainesville, FL, United States

10 Department of Information Systems and Operations Management, Warrington College of Business, University of Florida, Gainesville, FL, United States

*these authors contributed equally

Corresponding Author:

  • Md Mahmudul Hasan, PhD
  • Department of Pharmaceutical Outcomes and Policy
  • College of Pharmacy, University of Florida
  • 1889 Museum Road, Malachowsky Hall, Suite 6300
  • Gainesville, FL 32611
  • United States
  • Phone: 1 352-273-6276
  • Email: hasan.mdmahmudul@ufl.edu