Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development

dc.contributor.authorvon Gerich, Hanna
dc.contributor.authorChomutare, Taridzo
dc.contributor.authorPeltonen, Laura-Maria
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=hoitotieteen laitos|en=Department of Nursing Science|
dc.contributor.organization-code1.2.246.10.2458963.20.27201741504
dc.converis.publication-id515530794
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/515530794
dc.date.accessioned2026-04-24T16:29:25Z
dc.description.abstract<p>Common data models provide a standardized way to represent data used in federated learning tasks. The aim of this review was to explore the development and use of common data models to harmonize electronic health record data in health research. The data search yielded 724 records, of which 19 were included for this study. None of the research focused on nursing specific topics. All studies either utilized the Observational Medical Outcomes Partnership (OMOP) common data model, or developed a model partly based on the OMOP. A roadmap to guide research for the development of common data models for federated learning are warranted.<br></p>
dc.format.pagerange712
dc.format.pagerange711
dc.identifier.eisbn978-1-64368-527-4
dc.identifier.issn0926-9630
dc.identifier.jour-issn0926-9630
dc.identifier.urihttps://www.utupub.fi/handle/11111/58718
dc.identifier.urlhttps://doi.org/10.3233/shti240292
dc.identifier.urnURN:NBN:fi-fe2026022315464
dc.language.isoen
dc.okm.affiliatedauthorVon Gerich, Hanna
dc.okm.affiliatedauthorPeltonen, Laura-Maria
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline316 Nursingen_GB
dc.okm.discipline316 Hoitotiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.conferenceInternational Congress on Nursing Informatics
dc.relation.doi10.3233/SHTI240292
dc.relation.ispartofjournalStudies in Health Technology and Informatics
dc.relation.volume315
dc.titleBuilding Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development
dc.title.bookInnovation in Applied Nursing Informatics
dc.year.issued2024

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