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

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
  10. Thoma B, Spadafore M, Sebok-Syer S, George B, Chan T, Krumm A. Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models. Academic Medicine 2024;99(4S):S77 View
  11. Turner L, Hashimoto D, Vasisht S, Schaye V. Demystifying AI: Current State and Future Role in Medical Education Assessment. Academic Medicine 2024;99(4S):S42 View
  12. Kinnear B, Caretta-Weyer H, Lam A, Tang B, Ginsburg S, Wong B, Kelleher M, Schumacher D, Warm E. Finding Medicine’s Moneyball: How Lessons From Major League Baseball Can Advance Assessment in Precision Education. Academic Medicine 2024;99(4S):S35 View
  13. Maslej M, Donner K, Thakur A, Islam F, Costa-Dookhan K, Sockalingam S. Deriving Insights From Open-Ended Learner Feedback: An Exploration of Natural Language Processing Approaches. Journal of Continuing Education in the Health Professions 2025 View
  14. Janumpally R. The Role of Natural Language Processing in Graduate Medical Education: A Scoping Review. Cureus 2025 View
  15. Kim K. Technology-enhanced learning in medical education in the age of artificial intelligence. Forum for Education Studies 2025;3(2):2730 View
  16. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View
  17. Costa-Dookhan K, Adirim Z, Maslej M, Donner K, Rodak T, Soklaridis S, Sockalingam S, Thakur A. Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review. Academic Medicine 2025;100(5):635 View
  18. Mariñas K, Saflor C, Alvarado P, Uminga J, Verde N. Assessing the importance of variables from a revised Technology Acceptance Model for the use of ChatGPT by university students. Computers and Education: Artificial Intelligence 2025:100435 View