Abstract
INTRODUCTION: The advent of Large Language Models in 2022 is requiring a reconsideration of the contents to be included in Artificial Intelligence (AI) training for healthcare personnel.
OBJECTIVES: A review of the literature published since the launch of ChatGPT has been performed, to identify which contents are suggested for inclusion in AI training for healthcare personnel.
METHODS: the review has been conducted according to the PRISMA-ScR extension to the PRISMA statement. Only items containing primary data have been included, thus excluding literature reviews.
RESULTS: 10101 items have been identified, of which 21 have been selected for review. These include original articles, letters, commentaries, opinion papers, editorials, interviews.
DISCUSSION: The items extracted from the literature address almost exclusively medical training. The analysis failed to identify methodologically robust studies on the contents to be included in AI training for healthcare personnel. There is however consensus on the fact that content on the broader technical, application, ethics, and regulatory aspects should take priority over direct operativity on informatics tools.
OBJECTIVES: A review of the literature published since the launch of ChatGPT has been performed, to identify which contents are suggested for inclusion in AI training for healthcare personnel.
METHODS: the review has been conducted according to the PRISMA-ScR extension to the PRISMA statement. Only items containing primary data have been included, thus excluding literature reviews.
RESULTS: 10101 items have been identified, of which 21 have been selected for review. These include original articles, letters, commentaries, opinion papers, editorials, interviews.
DISCUSSION: The items extracted from the literature address almost exclusively medical training. The analysis failed to identify methodologically robust studies on the contents to be included in AI training for healthcare personnel. There is however consensus on the fact that content on the broader technical, application, ethics, and regulatory aspects should take priority over direct operativity on informatics tools.
| Translated title of the contribution | Content for an artificial intelligence training course for healthcare professionals: an exploratory literature review since the advent of ChatGPT. |
|---|---|
| Original language | Italian |
| Pages (from-to) | 5-24 |
| Number of pages | 20 |
| Journal | Tutor |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
Keywords
- artificial intelligence
- AI
- education
- content
- healthcare personnel
ASJC Scopus subject areas
- Health Professions(all)
- Education
Fingerprint
Dive into the research topics of 'Content for an artificial intelligence training course for healthcare professionals: an exploratory literature review since the advent of ChatGPT.'. Together they form a unique fingerprint.Research output
- 1 Letter
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Considerazioni sul bias nella pedagogia medica basata su AI
Rabbito, C., Petrini, C. M., Gaddi, A. V., Veltri, P. & Giardini, M. E. (Lead / Corresponding author), 16 May 2025, In: Tutor. 24, 1, p. 78-79 2 p.Translated title of the contribution :Reflections on Bias in AI-Based Medical Education Research output: Contribution to journal › Letter
Open AccessFile10 Downloads (Pure)
Activities
- 1 Membership of committee
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Società Italiana di Telemedicina (External organisation)
Giardini, M. E. (Chair)
29 Oct 2023 → …Activity: Membership types › Membership of committee
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