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Future Domain Experts - Integrating AI Education into Existing Master Programs for Health Professions
Department of Nursing, Umeå University, Sweden.
Department of Community Medicine and Rehabilitation, Umeå University, Sweden.
Jönköping University, School of Health and Welfare, HHJ, Department of Rehabilitation. Jönköping University, School of Health and Welfare, HHJ. Studies on Integrated Health and Welfare (SIHW).ORCID iD: 0000-0002-5015-154x
Department of Computing Science, Umeå University, Sweden.
2025 (English)In: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025, Amsterdam: IOS Press, 2025, p. 299-303Conference paper, Published paper (Refereed)
Sustainable development
00. Sustainable Development, 3. Good health and well-being, 4. Quality education, 9. Industry, innovation and infrastructure, 10. Reduced inequalities, 17. Partnerships for the goals
Abstract [en]

Medical and health disciplines are facing a change of their clinical practices with the integration of new transformative technologies including artificial intelligence (AI). There is an interest to elevate knowledge and skills in designing and developing adaptive technology for clients, patients and practices. In this study the possibility to integrate education on human-centered AI in the education on advanced level of nurses, physiotherapists and occupational therapists was explored. A blueprint of a 3-course AI education on human-centered AI for health and wellbeing was developed and evaluated at two universities. The course contents range from theory to practical exercises with application to clinical practice on AI, responsible AI design and AI technology, with a structured progression between each level. The evaluation showed that the proposed courses could be integrated into the existing master programs to different extent, from full integration in 120-credit programs to limited integration in 60-credit programs. It was concluded that the proposed education is feasible and desirable to integrate, and future work will continue the development.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2025. p. 299-303
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 332
Keywords [en]
decision-support systems, digital intervention, education, Human-centered artificial intelligence, inter-disciplinary education, nursing, occupational therapy, physiotherapy, Artificial Intelligence, Curriculum, Education, Graduate, Health Occupations, Humans, graduate education, human, medical profession, organization and management
National Category
Health Sciences Educational Sciences Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-69923DOI: 10.3233/SHTI251549PubMedID: 41041793Scopus ID: 2-s2.0-105017765895ISBN: 978-1-64368-629-5 (electronic)OAI: oai:DiVA.org:hj-69923DiVA, id: diva2:2006074
Conference
EFMI Special Topic Conference 2025, 20-22 October 2025, Osnabrück, Germany
Available from: 2025-10-13 Created: 2025-10-13 Last updated: 2026-01-09Bibliographically approved

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Fischl, Caroline

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