ArticleJournal of the colleges of medicine of South Africa2026
Using Chat Generative Pre-Trained Transformer for teaching and learning: A survey among health professions educators.
Article in Journal of the colleges of medicine of South Africa, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chat Generative Pre-Trained Transformer (ChatGPT) has the potential to transform Health Professions Education (HPE), but its integration into educational practice is likely to be influenced by the knowledge, attitudes and practices of health professions educators. The aim was to assess these educators' knowledge and awareness, attitudes and practices regarding ChatGPT. Methods: A cross-sectional study was conducted at a large teaching hospital using a structured questionnaire. Data were collected and analysed quantitatively to compare responses across professional groups. Results: A convenience sample of 360 healthcare professionals was recruited, comprising medical practitioners (MPs) (46.4%), health and rehabilitation sciences practitioners (HRSP) (13.3%) and nursing practitioners (NP) (40.3%). Most participants ( Conclusion: Differences in knowledge, attitudes and practices exist among health professionals and may influence the integration of ChatGPT into HPE. Further research and targeted artificial intelligence (AI) literacy programmes are recommended to support its implementation. Contribution: The study provided valuable insights that could contribute to the development of AI-inclusive curricula in HPE.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.