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Future domain experts: integrating AI education into existing master programs for health professions
Umeå University, Faculty of Medicine, Department of Nursing.ORCID iD: 0000-0003-1428-1950
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation.ORCID iD: 0000-0002-8265-5769
Department of Rehabilitation, Jönköping University, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2025 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 332, p. 299-303Article in journal (Refereed) Published
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
IOS Press, 2025. Vol. 332, p. 299-303
Keywords [en]
decision-support systems, digital intervention, education, Human-centered artificial intelligence, inter-disciplinary education, nursing, occupational therapy, physiotherapy
National Category
Physiotherapy Nursing
Identifiers
URN: urn:nbn:se:umu:diva-245510DOI: 10.3233/SHTI251549PubMedID: 41041793Scopus ID: 2-s2.0-105017765895OAI: oai:DiVA.org:umu-245510DiVA, id: diva2:2007556
Available from: 2025-10-20 Created: 2025-10-20 Last updated: 2025-10-20Bibliographically approved

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Blusi, MadeleineNilsson, IngeborgLindgren, Helena

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Blusi, MadeleineNilsson, IngeborgLindgren, Helena
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Department of NursingDepartment of Community Medicine and RehabilitationDepartment of Computing Science
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