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.

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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

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article

Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study

Yvonne Lindbäck, Karin Schröder, Sofi Sonesson, Karin Valeskog et al.
15 citations
BMC Medical Education
Artificial Intelligence in Healthcare and Education
9.81
article

Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study

Yvonne Lindbäck, Karin Schröder, Sofi Sonesson, Karin Valeskog, Torkel Engström
article en
15 citations

Abstract

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.

BMC Medical EducationVol. 25(1)
Linköping University (SE)
Linköpings Universitet, Faculty of Medicine and Health, University of Sydney
Quality Education
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare and Education
9.81
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Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study — Yvonne Lindbäck, Karin Schröder, et al. · BMC Medical Education (2025) | TGRS Research Map | TGRS