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

Adoption and Change Management of eHealth Systems (1143) Electronic Health Records (1767) Health Services in Resource-Poor Settings and LMICs (696) Artificial Intelligence (4926) Voice Assistants (72) Ambient AI Scribes and AI-Driven Documentation Technologies (113)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100805, first published .
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Implementation Readiness and Adoption of AI-Enabled Voice Electronic Medical Records in Resource-Constrained African Health Systems: Multisite Qualitative Study

Implementation Readiness and Adoption of AI-Enabled Voice Electronic Medical Records in Resource-Constrained African Health Systems: Multisite Qualitative Study

Authors of this article:

Melika Desalegn1 Author Orcid Image ;   Hocheol Lee2 Author Orcid Image ;   Dawit Wondifraw Tilahun3 Author Orcid Image ;   Alemu Sugi4 Author Orcid Image
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Melika Desalegn   1 , MD, MPH ;   Hocheol Lee   2 , MSc, PhD ;   Dawit Wondifraw Tilahun   3 , MD ;   Alemu Sugi   4 , MD

1 Department of Health Administration, Yonsei University, Wonju City, Gangwon, Republic of Korea

2 AI Health Data LAB, Department of AI Health Informations Management, Yonsei University, Wonju City, Gangwon, Republic of Korea

3 Department of Radiology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Addis Ababa, Ethiopia

4 Department of Internal Medicine, Care and Cure Medical Center, Dar es Salaam, Dar es Salaam, United Republic of Tanzania

Corresponding Author:

  • Hocheol Lee, MSc, PhD
  • AI Health Data LAB
  • Department of AI Health Informations Management
  • Yonsei University
  • Unit 410, Baekun Hall, 1 Yonseidae-gil
  • Wonju City, Gangwon 24693
  • Republic of Korea
  • Phone: 82 10 6286 1461
  • Email: lhc0104@yonsei.ac.kr