Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study
Taken together, these findings indicate that a one-size-fits-all approach to AI education in health care is unlikely to be effective. By triangulating insights across research stages, this study highlights the need for occupation-specific, accessible, and accredited AI training programs that bridge gaps in digital literacy and align with practical clinical priorities. The qualitative insights obtained can inform policy and training priorities in light of the European Union (EU) AI literacy mandates, while highlighting persistent gaps in workforce preparation.
Authors
- Femke De Backere (ORCID: https://orcid.org/0000-0002-0768-4949)
- Georgios Chatzichristos (ORCID: https://orcid.org/0000-0002-5004-5974)
- Maarten De Vos (ORCID: https://orcid.org/0000-0002-3482-5145)
- Ilse De Vos (ORCID: https://orcid.org/0000-0002-1152-3072)
- Christos Chatzichristos (ORCID: https://orcid.org/0000-0002-9054-5340)
- Stefaan Gruyaert
- Isabelle Borremans (ORCID: https://orcid.org/0009-0004-4114-7372)
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- Aristotle University of Thessaloniki (GR)
- Ghent University Hospital (BE)
- Ghent University (BE)
- Flanders Environment Agency (BE)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-09
- DOI
- https://doi.org/10.2196/76709
- Citations
- 3
- Primary Topic
- Literature Analysis and Criticism
- Type
- article
- Field-Weighted Citation Impact
- 10.48