A systematic review of the impact of artificial intelligence on educational outcomes in health professions education
Inserm · Centre de Médecine Préventive · +3 more institutions
Abstract
Artificial intelligence (AI) has a variety of potential applications in health professions education and assessment; however, measurable educational impacts of AI-based educational strategies on learning outcomes have not been systematically evaluated.
A systematic literature search was conducted using electronic databases (CINAHL Plus, EMBASE, Proquest, Pubmed, Cochrane Library, and Web of Science) to identify studies published until October 1st 2024, analyzing the impact of AI-based tools/interventions in health profession assessment and/or training on educational outcomes. The present analysis follows the PRISMA 2020 statement for systematic reviews and the structured approach to reporting in health care education for evidence synthesis.
Citation impact
- FWCI
- 41.42
- Percentile
- 100%
- References
- 84
Authors
3Topics & keywords
- Health professions
- Medical education
- Educational measurement
- Psychology
- Systematic review
- MEDLINE
- Medicine
- Curriculum