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

Artificial Intelligence (AI) in Medical Education (784) e-Learning and Digital Medical Education (1606) User-Centered Design Case Studies (852) New Methods and Approaches in Medical Education (644) Models and Frameworks in Medical Education (120)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/97822, first published .
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Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study

Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study

Authors of this article:

Gakyoung Baek1 Author Orcid Image ;   Hyunna Lee1 Author Orcid Image ;   Dong Hyun Yang2 Author Orcid Image ;   Minseo Kang1 Author Orcid Image ;   Kun Hee Lee1 Author Orcid Image ;   Minji Choi1 Author Orcid Image ;   Yura Lee3 Author Orcid Image ;   Kye Hwa Lee3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Gakyoung Baek   1 , BS ;   Hyunna Lee   1 , PhD ;   Dong Hyun Yang   2 , MD, PhD ;   Minseo Kang   1 , BS ;   Kun Hee Lee   1 , BS ;   Minji Choi   1 , BA ;   Yura Lee   3 , MD, PhD ;   Kye Hwa Lee   3 , MD, PhD

1 Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

2 Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea

3 Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Kye Hwa Lee, MD, PhD
  • Department of Information Medicine
  • Asan Medical Center, University of Ulsan College of Medicine
  • 88 Olympic-ro 43-gil, Songpa-gu
  • Seoul 05505
  • Republic of Korea
  • Phone: 82 2-3010-5991
  • Email: eva@amc.seoul.kr