Content for an artificial intelligence training course for healthcare professionals: an exploratory literature review since the advent of ChatGPT.

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.