A rapid review on the application of common data models in healthcare: Recommendations for data governance and federated learning in artificial intelligence development.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2055-2076 |
|---|---|
| DOI: | 10.1177/20552076251395536 |
