Twelve tips on creating and using custom GPTs to enhance health professions education

Bibliographic Data

ID21448972
AuthorsKen Masters (0000-0003-3425-5020, Sultan Qaboos University, corresponding author), Jennifer Benjamin (0000-0001-6085-5973, Baylor College of Medicine), Anoop Agrawal (0000-0003-1359-0209, Baylor College of Medicine), Heather MacNeill (0000-0001-9842-3578, Department of Medicine, University of Toronto Temerty of Medicine), M Tyson Pillow (0000-0001-7584-5452, Baylor College of Medicine), Neil Mehta (0000-0002-6207-6778, Department of Internal Medicine and Geriatrics, Cleveland Clinic)
Year2024
Volume46
Issue6
Pages752-756
Publication date2024-06-02
Open AccessNo
TypeARTICLE
VenueMedical Teacher (JOURNAL)
Journal identifiersISSN: 0142-159X • E-ISSN: 1466-187X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0142159x.2024.2305365
PMID38285894
OpenAlexW4391308235
LanguageEN
Citations received10
References cited10

The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators to apply the capabilities of ChatGPT to create administrative assistants, online tutors, virtual patients, and more, to support their clinical and non-clinical teaching environments. To achieve this correctly, however, requires some skills, and this 12-Tips paper provides those: we explain how to construct data sources, build relevant GPTs, and apply some basic security

Construct (python library) · Engineering drawing · Engineering management · Feature (linguistics) · Health care · Medical education · Multimedia · Political science · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Health Professions · Healthcare cost, quality, practices · Innovations in Medical Education · Medicine

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