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

Graduate and Postgraduate Education for Health Professionals (102) e-Learning and Digital Medical Education (705) Artificial Intelligence (1421) Natural Language Processing (706)

Published on in Vol 8, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30537, first published .
Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

Authors of this article:

Yusuf Yilmaz1, 2, 3, 4 Author Orcid Image ;   Alma Jurado Nunez5 Author Orcid Image ;   Ali Ariaeinejad5 Author Orcid Image ;   Mark Lee1 Author Orcid Image ;   Jonathan Sherbino1, 6, 7 Author Orcid Image ;   Teresa M Chan1, 3, 6, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (12) Metrics

Journals

  1. Zhang W, Cai M, Lee H, Evans R, Zhu C, Ming C. AI in Medical Education: Global situation, effects and challenges. Education and Information Technologies 2024;29(4):4611 View
  2. Stamer T, Steinhäuser J, Flägel K. Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review. Journal of Medical Internet Research 2023;25:e43311 View
  3. Ibrahim H, Juve A, Amin A, Railey K, Andolsek K. Expanding the Study of Bias in Medical Education Assessment. Journal of Graduate Medical Education 2023;15(6):623 View
  4. Costa-Dookhan K, Maslej M, Donner K, Islam F, Sockalingam S, Thakur A. Twelve tips for Natural Language Processing in medical education program evaluation. Medical Teacher 2024;46(9):1147 View
  5. Gordon M, Daniel M, Ajiboye A, Uraiby H, Xu N, Bartlett R, Hanson J, Haas M, Spadafore M, Grafton-Clarke C, Gasiea R, Michie C, Corral J, Kwan B, Dolmans D, Thammasitboon S. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 2024;46(4):446 View
  6. Lyons P, Rojas J, Bewley A, Malone S, Santhosh L. Validating the Physician Documentation Quality Instrument for Intensive Care Unit–Ward Transfer Notes. ATS Scholar 2024;5(2):274 View
  7. Spadafore M, Yilmaz Y, Rally V, Chan T, Russell M, Thoma B, Singh S, Monteiro S, Pardhan A, Martin L, Monrad S, Woods R. Using Natural Language Processing to Evaluate the Quality of Supervisor Narrative Comments in Competency-Based Medical Education. Academic Medicine 2024;99(5):534 View
  8. Deeb M, Gangadhar A, Rabindranath M, Rao K, Brudno M, Sidhu A, Wang B, Bhat M. The emerging role of generative artificial intelligence in transplant medicine. American Journal of Transplantation 2024;24(10):1724 View
  9. Nair B, Moonen - van Loon J, van Lierop M, Govaerts M. Leveraging Narrative Feedback in Programmatic Assessment: The Potential of Automated Text Analysis to Support Coaching and Decision-Making in Programmatic Assessment. Advances in Medical Education and Practice 2024;Volume 15:671 View