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Published on in Vol 15 (2026)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94007, first published .
Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial

Walid F Gellad   1, 2, 3 , MD, MPH ;   Yi-Fan Chen   4 , PhD ;   Tae Woo Park   2, 5 , MSc, MD ;   Qingnan Yang   1, 2 , MA, MS ;   Jonathan D Arnold   1 , MSE, MD ;   Courtney C Kuza   2 , MPH, PhD ;   Stephanie N Fedro-Byrom   1, 2 , MPH ;   Julie Diiulio   6 , MS ;   Laura G Militello   6 , PhD ;   Michelle Whitlock   6 , MA ;   Eugene M Sadhu   7 , MD ;   Shyam Visweswaran   7 , MD, PhD ;   Michael J Fine   1 , MSc, MD ;   Kaleab Z Abebe   4 , PhD ;   Katie J Suda   1, 2, 3 , PharmD, MS ;   Wei-Hsuan Lo-Ciganic   1, 2, 8 , MS, PhD

1 Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, United States

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

3 VA Pittsburgh Healthcare System, Pittsburgh, PA, United States

4 Center for Biostatistics and Qualitative Methodology, Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, United States

5 Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States

6 Applied Decision Science, Cincinnati, OH, United States

7 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States

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

Corresponding Author:

  • Walid F Gellad, MD, MPH
  • Division of General Internal Medicine
  • University of Pittsburgh
  • 3609 Forbes Avenue
  • Pittsburgh, PA 15213
  • United States
  • Phone: 1 412-692-4889
  • Email: walid.gellad@pitt.edu