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

Digital Health Reviews (3938) Clinical Information and Decision Making (3975) Digital Health, Telehealth and e-Innovation in Clinical Settings (761) Natural Language Processing (1364) Decision Support for Health Professionals (2410) Safety and Error Prevention in Health (342) Design and Usability of Clinical Software and EHRs (500) Machine Learning (3399)

Published on in Vol 28 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86760, first published .
Doctor in white coat writing prescription next to laptop and pill bottles

AI-Based Automation for Medication Reconciliation: Scoping Review

AI-Based Automation for Medication Reconciliation: Scoping Review

Authors of this article:

Juan Pablo Tabja Bortesi1, 2 Author Orcid Image ;   Maria P Becerra1 Author Orcid Image ;   Jonathan Ranisau1 Author Orcid Image ;   Bonnie Wen3 Author Orcid Image ;   Praveen Nadesan4 Author Orcid Image ;   P J Devereaux4, 5, 6 Author Orcid Image ;   Michael McGillion5, 7 Author Orcid Image ;   Jeremy Petch1, 5, 6, 8 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Botha P, Van Wyk A, Marais J. When the Medication Record Disagrees with Itself: A Multi-Agent Reconciliation Architecture. Archives of Pharmacy Practice 2026;17(1):22 View
  2. Dubosh N, Iyer A, Schwartzstein R. From Competence to Expertise: The Role of Meaningful Experience in Physician Training (Preprint). JMIR Medical Education 2026 View