AI-Based Automation for Medication Reconciliation: Scoping Review.

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Bibliographic Details
Title: AI-Based Automation for Medication Reconciliation: Scoping Review.
Authors: Tabja Bortesi JP; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada., Becerra MP; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada., Ranisau J; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada., Wen B; Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada., Nadesan P; Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada., Devereaux PJ; Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.; Population Health Research Institute, Hamilton, ON, Canada.; Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada., McGillion M; Population Health Research Institute, Hamilton, ON, Canada.; School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada., Petch J; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.; Population Health Research Institute, Hamilton, ON, Canada.; Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada.; Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St 4th Floor, Toronto, ON, M5T 3M6, Canada, 1 4164769039.
Source: Journal of medical Internet research [J Med Internet Res] 2026 May 11; Vol. 28, pp. e86760. Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article; Scoping Review; Review
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1438-8871
DOI:10.2196/86760