Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience

The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study documents barriers and facilitators identified during the early phases of establishing the Nordic-Baltic Federated Health Data Network, prior to technical implementation. Utilizing a mixed-methods approach, we identified and prioritized key factors affecting consortium formation. Our findings reveal five key facilitator clusters that drive the project forward, including strong motivation, interdisciplinary collaboration, and regulatory alignment. Additionally, we identified six major barrier clusters, with security and privacy concerns and technical infrastructure challenges emerging as the most critical. These barriers impact both human collaboration and technical aspects, emphasizing the dual nature of network development. By providing a prioritized list of barriers and actionable strategies for addressing them, this study offers pre-implementation guidance for future consortia. These strategic insights can help teams better prepare for establishing cross-border federated health data networks.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250326
Citations
1
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
16.53
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article

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience

Oleg Agafonov, Alexandra Makhlysheva, Taridzo Chomutare, Aleksandar Babić et al.
1 citations
Studies in health technology and informatics
Ethics in Clinical Research
16.53
article

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience

Oleg Agafonov, Alexandra Makhlysheva, Taridzo Chomutare, Aleksandar Babić, Laura‐Maria Peltonen
article en
1 citations

Abstract

The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study documents barriers and facilitators identified during the early phases of establishing the Nordic-Baltic Federated Health Data Network, prior to technical implementation. Utilizing a mixed-methods approach, we identified and prioritized key factors affecting consortium formation. Our findings reveal five key facilitator clusters that drive the project forward, including strong motivation, interdisciplinary collaboration, and regulatory alignment. Additionally, we identified six major barrier clusters, with security and privacy concerns and technical infrastructure challenges emerging as the most critical. These barriers impact both human collaboration and technical aspects, emphasizing the dual nature of network development. By providing a prioritized list of barriers and actionable strategies for addressing them, this study offers pre-implementation guidance for future consortia. These strategic insights can help teams better prepare for establishing cross-border federated health data networks.

Studies in health technology and informaticsVol. 327
DNV (Norway) (NO), Turku University Hospital (FI)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Ethics in Clinical Research
16.53
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