A rapid review on the application of common data models in healthcare: Recommendations for data governance and federated learning in artificial intelligence development.

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Title: A rapid review on the application of common data models in healthcare: Recommendations for data governance and federated learning in artificial intelligence development.
Authors: von Gerich H; Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland.; Department of Nursing Science, University of Turku, Turku, Finland., Chomutare T; Norwegian Centre for E-health Research, Tromsø, Norway., Kytö V; Heart Center, Turku University Hospital and University of Turku, Research Services, Wellbeing Services County of Southwest Finland, Turku, Finland., Lundberg P; Clinical Department of Medical Radiation Physics, Region Östergötland, Linköping, Sweden.; Clinical Department of Radiology in Linköping, Region Östergötland, Linköping, Sweden.; Center for Medicine Imaging and Visualization Science (CMIV), Linköping University, Linköping, Sweden.; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden., Siggaard T; Novo Nordisk Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Peltonen LM; Department of Health and Social Management, University of Eastern Finland and Wellbeing Services County of North Savo, Kuopio, Finland.; Department of Nursing Science, University of Turku and Research Services, Wellbeing Services County of Southwest, Turku, Finland.
Source: Digital health [Digit Health] 2025 Nov 11; Vol. 11, pp. 20552076251395536. Date of Electronic Publication: 2025 Nov 11 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A rapid review on the application of common data models in healthcare: Recommendations for data governance and federated learning in artificial intelligence development.
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  Data: <searchLink fieldCode="AU" term="%22von+Gerich+H%22">von Gerich H</searchLink>; Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland.; Department of Nursing Science, University of Turku, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Chomutare+T%22">Chomutare T</searchLink>; Norwegian Centre for E-health Research, Tromsø, Norway.<br /><searchLink fieldCode="AU" term="%22Kytö+V%22">Kytö V</searchLink>; Heart Center, Turku University Hospital and University of Turku, Research Services, Wellbeing Services County of Southwest Finland, Turku, Finland.<br /><searchLink fieldCode="AU" term="%22Lundberg+P%22">Lundberg P</searchLink>; Clinical Department of Medical Radiation Physics, Region Östergötland, Linköping, Sweden.; Clinical Department of Radiology in Linköping, Region Östergötland, Linköping, Sweden.; Center for Medicine Imaging and Visualization Science (CMIV), Linköping University, Linköping, Sweden.; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Siggaard+T%22">Siggaard T</searchLink>; Novo Nordisk Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Peltonen+LM%22">Peltonen LM</searchLink>; Department of Health and Social Management, University of Eastern Finland and Wellbeing Services County of North Savo, Kuopio, Finland.; Department of Nursing Science, University of Turku and Research Services, Wellbeing Services County of Southwest, Turku, Finland.
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