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

Health Informatics Education and Training (61) Artificial Intelligence (1676) Decision Support for Health Professionals (1326) Continuing Medical Education (CME) for Doctors (132) Adoption and Change Management of eHealth Systems (787)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37478, first published .
Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Considering Clinician Competencies for the Implementation of Artificial Intelligence–Based Tools in Health Care: Findings From a Scoping Review

Authors of this article:

Kim V Garvey1, 2 Author Orcid Image ;   Kelly Jean Thomas Craig3, 4 Author Orcid Image ;   Regina Russell5 Author Orcid Image ;   Laurie L Novak6, 7 Author Orcid Image ;   Don Moore5 Author Orcid Image ;   Bonnie M Miller1, 5 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

Journals

  1. Cussat-Blanc S, Castets-Renard C, Monsarrat P. Doctors in Medical Data Sciences: A New Curriculum. International Journal of Environmental Research and Public Health 2022;20(1):675 View
  2. Chen Y, Clayton E, Novak L, Anders S, Malin B. Human-Centered Design to Address Biases in Artificial Intelligence. Journal of Medical Internet Research 2023;25:e43251 View
  3. Novak L, Russell R, Garvey K, Patel M, Thomas Craig K, Snowdon J, Miller B. Clinical use of artificial intelligence requires AI-capable organizations. JAMIA Open 2023;6(2) View
  4. Kuroiwa T, Sarcon A, Ibara T, Yamada E, Yamamoto A, Tsukamoto K, Fujita K. The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study. Journal of Medical Internet Research 2023;25:e47621 View
  5. Kleine A, Kokje E, Lermer E, Gaube S. Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study. JMIR Human Factors 2023;10:e46859 View
  6. Agharia S, Szatkowski J, Fraval A, Stevens J, Zhou Y. The ability of artificial intelligence tools to formulate orthopaedic clinical decisions in comparison to human clinicians: An analysis of ChatGPT 3.5, ChatGPT 4, and Bard. Journal of Orthopaedics 2024;50:1 View
  7. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
  8. Zaleski A, Berkowsky R, Craig K, Pescatello L. Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study. JMIR Medical Education 2024;10:e51308 View
  9. Bhatla A, Kim C, Nimbalkar M, Ng‐Thow‐Hing A, Isakadze N, Spaulding E, Zaleski A, Craig K, Verbrugge D, Dunn P, Nag D, Bankar D, Martin S, Marvel F. Cardiac Rehabilitation Enabled With Health Technology: Innovative Models of Care Delivery and Policy to Enhance Health Equity. Journal of the American Heart Association 2024;13(2) View
  10. Denecke K, May R, Rivera-Romero O. Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks. Journal of Medical Systems 2024;48(1) View
  11. Lee Y, Kim S, Lee Y, Kim H, Seo S, Kim H, Kim K. Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools. Academic Medicine 2024;99(5):524 View
  12. Aljamaan F, Temsah M, Altamimi I, Al-Eyadhy A, Jamal A, Alhasan K, Mesallam T, Farahat M, Malki K. Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study. JMIR Medical Informatics 2024;12:e54345 View
  13. Júdice de Mattos Farina E, Celi L. Smartphone Imaging and AI: A Commentary on Cardiac Device Classification. Radiology: Artificial Intelligence 2024;6(5) View
  14. Mathur P, Arshad H, Grasfield R, Khatib R, Aggarwal A, Auron M, Khare A. Navigating AI: A Quick Start Guide for Healthcare Professionals. Cureus 2024 View
  15. Fried A, Dorn S, Leland W, Mullen E, Williams D, Zaas A, MacGuire J, Bynum D. Large language models in internal medicine residency: current use and attitudes among internal medicine residents. Discover Artificial Intelligence 2024;4(1) View
  16. Gazquez-Garcia J, Sánchez-Bocanegra C, Sevillano J. AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals. JMIR Medical Education 2025;11:e58161 View
  17. Wenhang S, Shenting Z, Shaohua C. Prospects for the development of medical professionalism education in the AI perspective: A qualitative study of Chinese postgraduate medical students’ written reflections. Medical Teacher 2025:1 View
  18. Chung B, Chan E, Chang K, Leung D. Senior year nursing students' self-regulated learning in complex simulation-based palliative education: A qualitative study. Nurse Education Today 2025;147:106609 View
  19. Lee I, Lee Y. Development of a Medical AI Ethics Education Module Reflecting AI Competency Framework for Medical Students. Korean Medical Education Review 2025;27(1):17 View
  20. Groeneveld S, van Os-Medendorp H, van Gemert-Pijnen J, Verdaasdonk R, van Houwelingen T, Dekkers T, den Ouden M. Essential competencies of nurses working with AI-driven lifestyle monitoring in long-term care: A modified Delphi study. Nurse Education Today 2025;149:106659 View
  21. Marshall N, Loades M, Jacobs C, Biddle L, Lambert J. Integrating Artificial Intelligence in Youth Mental Health Care: Advances, Challenges, and Future Directions. Current Treatment Options in Psychiatry 2025;12(1) View

Books/Policy Documents

  1. Barua R. Approaches to Human-Centered AI in Healthcare. View

Conference Proceedings

  1. Bhowmick A, Seetharaman A. 2024 10th International Conference on Automation, Robotics and Applications (ICARA). Influence of Technology Skills, Digital Infrastructure, and Data Integration on Artificial Intelligence in Product Development View