arXiv:2409.17865cs.CYcs.AI2024-09被引 3

构建北欧波罗的海联邦医疗数据网络,解决跨境数据共享难题

Implementing a Nordic-Baltic Federated Health Data Network: a case report

  • 跨机构协作构建联邦数据网络,避免集中存储
  • 技术测试显示性能与集中式方案相当
  • 适合关注医疗数据合规协同的研究者

跨国集中处理医疗数据面临隐私、异构性和法律障碍等挑战。为此,我们组建由六家机构组成的跨学科联盟,覆盖五国,建立北欧波罗的海联邦健康数据网络,推动健康数据二次利用合作。本报告基于混合方法研究,结合实验设计与实施科学,评估网络建设中的影响因素。技术测试表明,该网络在性能上未显著劣于集中式模拟方案。尽管跨学科方法有助于应对协作难题,但研究凸显监管环境滞后和高昂运营成本仍是主要障碍。

原文摘要 · Abstract (English)

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.

联邦学习医疗数据跨境协作

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