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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86467, first published .
Pharmacist discusses medication with a patient in a pharmacy aisle.

Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study

Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study

Alan Katz   1, 2 , MBChB, MSc, CCFP ;   Abhishek Dhankar   1 , MSc ;   Gillian Fransoo   1 , BSc ;   Diane Gordon Pappas   1 , MSc ;   Amani F Hamad   3 , MSc, PhD ;   Christine Leong   4 , BSc, PharmD ;   Alexander Singer   2 , MB BCh BAO, CCFP, FCFP

1 Manitoba Centre for Health Policy, College of Community and Global Health, University of Manitoba, Winnipeg, MB, Canada

2 Department of Family Medicine, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada

3 College of Community and Global Health, University of Manitoba, Winnipeg, MB, Canada

4 Rady Faculty of Health Sciences, College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada

Corresponding Author:

  • Alan Katz, MBChB, MSc, CCFP
  • Manitoba Centre for Health Policy
  • College of Community and Global Health, University of Manitoba
  • Room 408-727 McDermot Ave
  • Winnipeg, MB R3E 3P5
  • Canada
  • Phone: 1 204 955 2612
  • Email: Alan.Katz@umanitoba.ca