Published on in Vol 8, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24372, first published .
Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study

Journals

  1. Kamath A, Ullal S. Learning and clinical reasoning experience of second-year medical pharmacology students and teachers with virtual patients developed using OpenLabyrinth. Electronic Journal of General Medicine 2023;20(5):em509 View
  2. Lippitsch A, Steglich J, Ludwig C, Kellner J, Hempel L, Stoevesandt D, Thews O. Development and evaluation of a software system for medical students to teach and practice anamnestic interviews with virtual patient avatars. Computer Methods and Programs in Biomedicine 2024;244:107964 View
  3. 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
  4. Horta L, Ho D, Lau K. Using Learning Analytics to Evaluate the Clinical Education Podcast Format. Medical Science Educator 2024;34(3):531 View