现实检查:在分散数据分析的挑战中,欧洲健康数据空间的愿望
Holger Fröhlich1, Anne Funck Hansen2, Mika Hilvo3
1Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, 53757, Germany, 49 151 7059794.
Journal of medical Internet research
|September 19, 2025
概括
欧洲健康数据空间 (EHDS) 旨在实现安全,分散的健康数据使用. 实现其目标,特别是对二次数据,面临法律和技术障碍,需要协调进步.
科学领域:
- 医疗信息学 医疗信息学
- 数据治理数据治理
- 欧洲卫生政策 欧洲卫生政策
背景情况:
- 欧洲健康数据空间 (EHDS) 倡议旨在统一整个欧洲的健康数据访问.
- 目前的数据共享模式在安全性,互操作性和分散性方面面临挑战.
研究的目的:
- 分析实现EHDS目标的法律和技术障碍.
- 评估先进机器学习技术在EHDS框架内用于二级健康数据的潜力.
主要方法:
- 审查当前的EHDS立法提案和技术框架.
- 探索用于分散数据分析的联合学习和群学习方法.
主要成果:
- 严重的法律和技术挑战阻碍了EHDS目标的实现,特别是在二次数据使用方面.
- 联合和群体学习提供了可行的但复杂的解决方案,需要大量的基础设施和标准化.
结论:
- 立法和技术的协调进步对于成功实施EHDS至关重要.
- 解决基础设施,标准化和监管明确性对于利用EHDS中的先进学习方法至关重要.
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