Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study
Physiotherapy students found GAI beneficial for learning and clinical reasoning but expressed concerns about its impact on learning quality. They emphasized the importance of a critical approach when using GAI and the need for organizational support, including supporting permitted GAI use. Students believed that future advanced GAI models could provide accurate and reliable educational tools and healthcare tools supporting documentation and evidence-based decision-making. However, potential risks include business profit motives and knowledge gaps. Navigating these challenges is essential to fully leveraging GAI's benefits in education and physiotherapy practice. Therefore, fostering a critical approach and ensuring robust organizational support is crucial for maximizing the positive impact of GAI in physiotherapy.
Authors
- Yvonne Lindbäck (ORCID: https://orcid.org/0000-0002-1498-0498)
- Karin Schröder (ORCID: https://orcid.org/0000-0002-5673-9133)
- Sofi Sonesson (ORCID: https://orcid.org/0000-0001-8670-5666)
- Karin Valeskog
- Torkel Engström
Institutions
- Linköping University (SE)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s12909-025-07106-w
- Citations
- 15
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 9.81
Funders
- Linköpings Universitet
- Faculty of Medicine and Health, University of Sydney