Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study DOI Creative Commons
Yvonne Lindbäck, Karin Schröder,

Torkel Engström

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 24, 2025

Abstract Background Generative Artificial Intelligence (GAI) has significantly impacted education at all levels, including health professional education. Understanding students’ experiences is essential to enhancing AI literacy, adapting GAI, and implementing GAI technology. Therefore, the aim was explore physiotherapy of thoughts on in their education, its potential implications for future careers healthcare. Methods Qualitative descriptive design. Focus groups were conducted, using a semi-structured interview guide, Physiotherapy program Linköping University, Sweden, from March April 2024. The 15 students organized into three focus groups, one each year. data analyzed inductive content analysis. Results An overarching theme “GAI—Great if navigating challenges” emerged categories: 1) “Areas use learning process”: Students viewed as tool introduction inspiration, assimilating course clinical reasoning problem-solving; 2) “Optimizing education”: found be timesaving, tailored, virtual study partner teacher. They discussed pros cons learning, concerns permitted usage, need critical approach, how individual interests influenced interactions with GAI; 3) “Future profession”: believed would more reliable, subject-specific models enhance care delivery, but also pose risks related profit motives knowledge gaps. Conclusion beneficial expressed about impact quality. emphasized importance approach when organizational support, supporting use. that advanced could provide accurate reliable educational tools healthcare documentation evidence-based decision-making. However, include business Navigating these challenges fully leveraging GAI’s benefits practice. fostering ensuring robust support crucial maximizing positive physiotherapy.

Language: Английский

Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study DOI Creative Commons
Yvonne Lindbäck, Karin Schröder,

Torkel Engström

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 24, 2025

Abstract Background Generative Artificial Intelligence (GAI) has significantly impacted education at all levels, including health professional education. Understanding students’ experiences is essential to enhancing AI literacy, adapting GAI, and implementing GAI technology. Therefore, the aim was explore physiotherapy of thoughts on in their education, its potential implications for future careers healthcare. Methods Qualitative descriptive design. Focus groups were conducted, using a semi-structured interview guide, Physiotherapy program Linköping University, Sweden, from March April 2024. The 15 students organized into three focus groups, one each year. data analyzed inductive content analysis. Results An overarching theme “GAI—Great if navigating challenges” emerged categories: 1) “Areas use learning process”: Students viewed as tool introduction inspiration, assimilating course clinical reasoning problem-solving; 2) “Optimizing education”: found be timesaving, tailored, virtual study partner teacher. They discussed pros cons learning, concerns permitted usage, need critical approach, how individual interests influenced interactions with GAI; 3) “Future profession”: believed would more reliable, subject-specific models enhance care delivery, but also pose risks related profit motives knowledge gaps. Conclusion beneficial expressed about impact quality. emphasized importance approach when organizational support, supporting use. that advanced could provide accurate reliable educational tools healthcare documentation evidence-based decision-making. However, include business Navigating these challenges fully leveraging GAI’s benefits practice. fostering ensuring robust support crucial maximizing positive physiotherapy.

Language: Английский

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