Implementing a Nordic-Baltic Federated Health Data Network: a case report
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2024
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| author | Chomutare, Taridzo Babic, Aleksandar Peltonen, Laura-Maria Elunurm, Silja Lundberg, Peter Jönsson, Arne Eneling, Emma Gerstenberger, Ciprian-Virgil Siggaard, Troels Kolde, Raivo Jerdhaf, Oskar Hansson, Martin Makhlysheva, Alexandra Muzny, Miroslav Ylipää, Erik Brunak, Søren Dalianis, Hercules |
| author_facet | Chomutare, Taridzo Babic, Aleksandar Peltonen, Laura-Maria Elunurm, Silja Lundberg, Peter Jönsson, Arne Eneling, Emma Gerstenberger, Ciprian-Virgil Siggaard, Troels Kolde, Raivo Jerdhaf, Oskar Hansson, Martin Makhlysheva, Alexandra Muzny, Miroslav Ylipää, Erik Brunak, Søren Dalianis, Hercules |
| contents | Background: Centralized collection and processing of healthcare data across national borders pose significant challenges, including privacy concerns, data heterogeneity and legal barriers. To address some of these challenges, we formed an interdisciplinary consortium to develop a feder-ated health data network, comprised of six institutions across five countries, to facilitate Nordic-Baltic cooperation on secondary use of health data. The objective of this report is to offer early insights into our experiences developing this network. Methods: We used a mixed-method ap-proach, combining both experimental design and implementation science to evaluate the factors affecting the implementation of our network. Results: Technically, our experiments indicate that the network functions without significant performance degradation compared to centralized simu-lation. Conclusion: While use of interdisciplinary approaches holds a potential to solve challeng-es associated with establishing such collaborative networks, our findings turn the spotlight on the uncertain regulatory landscape playing catch up and the significant operational costs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_17865 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Implementing a Nordic-Baltic Federated Health Data Network: a case report Chomutare, Taridzo Babic, Aleksandar Peltonen, Laura-Maria Elunurm, Silja Lundberg, Peter Jönsson, Arne Eneling, Emma Gerstenberger, Ciprian-Virgil Siggaard, Troels Kolde, Raivo Jerdhaf, Oskar Hansson, Martin Makhlysheva, Alexandra Muzny, Miroslav Ylipää, Erik Brunak, Søren Dalianis, Hercules Computers and Society Artificial Intelligence Computation and Language Machine Learning Background: Centralized collection and processing of healthcare data across national borders pose significant challenges, including privacy concerns, data heterogeneity and legal barriers. To address some of these challenges, we formed an interdisciplinary consortium to develop a feder-ated health data network, comprised of six institutions across five countries, to facilitate Nordic-Baltic cooperation on secondary use of health data. The objective of this report is to offer early insights into our experiences developing this network. Methods: We used a mixed-method ap-proach, combining both experimental design and implementation science to evaluate the factors affecting the implementation of our network. Results: Technically, our experiments indicate that the network functions without significant performance degradation compared to centralized simu-lation. Conclusion: While use of interdisciplinary approaches holds a potential to solve challeng-es associated with establishing such collaborative networks, our findings turn the spotlight on the uncertain regulatory landscape playing catch up and the significant operational costs. |
| title | Implementing a Nordic-Baltic Federated Health Data Network: a case report |
| topic | Computers and Society Artificial Intelligence Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2409.17865 |