Testing and Assessment in Medical Education

Articles published in 2023 in this theme: 11 (scroll down to load remaining articles)

2023

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Evaluating Clinical Outcomes in Patients Being Treated Exclusively via Telepsychiatry: Retrospective Data Analysis

Cheryl Person, Nicola O'Connor, Lucy Koehler, Kartik Venkatachalam, Georgia Gaveras

JMIR Form Res 2023 (Dec 08); 7:e53293

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Evaluation of Incremental Validity of Casper in Predicting Program and National Licensure Performance of Undergraduate Nursing Students: Protocol for a Mixed Methods Study

Kathleen Stevens, Donna Moralejo, Renee Crossman

JMIR Res Protoc 2023 (Oct 18); 12:e48672

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Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study

Yasutaka Yanagita, Daiki Yokokawa, Shun Uchida, Junsuke Tawara, Masatomi Ikusaka

JMIR Form Res 2023 (Oct 13); 7:e48023

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Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study

Ryan ST Huang, Kevin Jia Qi Lu, Christopher Meaney, Joel Kemppainen, Angela Punnett, Fok-Han Leung

JMIR Med Educ 2023 (Sep 19); 9:e50514

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Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis

Amal Almansour, Enid Montague, Jacob Furst, Daniela Raicu

JMIR Hum Factors 2023 (Sep 08); 10:e46120

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Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash

JMIR Med Educ 2023 (Jul 13); 9:e50336

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Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. Comment on “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”

Richard H Epstein, Franklin Dexter

JMIR Med Educ 2023 (Jul 13); 9:e48305

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Variation in Experiences and Attainment in Surgery Between Ethnicities of UK Medical Students and Doctors (ATTAIN): Protocol for a Cross-Sectional Study

Samar Babiker, Innocent Ogunmwonyi, Maria W Georgi, Lawrence Tan, Sharmi Haque, William Mullins, Prisca Singh, Nadya Ang, Howell Fu, Krunal Patel, Jevan Khera, Monty Fricker, Simon Fleming, Lolade Giwa-Brown, Peter A Brennan, Ekpemi Irune, Stella Vig, Arjun Nathan

JMIR Res Protoc 2023 (Jun 16); 12:e40545

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Scoring Single-Response Multiple-Choice Items: Scoping Review and Comparison of Different Scoring Methods

Amelie Friederike Kanzow, Dennis Schmidt, Philipp Kanzow

JMIR Med Educ 2023 (May 19); 9:e44084

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Use of Multiple-Select Multiple-Choice Items in a Dental Undergraduate Curriculum: Retrospective Study Involving the Application of Different Scoring Methods

Philipp Kanzow, Dennis Schmidt, Manfred Herrmann, Torsten Wassmann, Annette Wiegand, Tobias Raupach

JMIR Med Educ 2023 (Mar 27); 9:e43792

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How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash

JMIR Med Educ 2023 (Feb 08); 9:e45312

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