Baumgart Daniel C, Kvedar Joseph C
College of Health Sciences, University of Alberta, Edmonton, AB, Canada.
College of Natural and Applied Sciences, University of Alberta, Edmonton, AB, Canada.
NPJ Digit Med. 2025 Apr 20;8(1):215. doi: 10.1038/s41746-025-01631-0.
Collaborative use of population-level health data and artificial intelligence is essential for achieving precision health through a learning health system. Two groundbreaking initiatives—the European Health Data Space (EHDS), covering 449 million EU citizens, and Germany’s forthcoming Health Data Lab, providing access to data from 75 million insured individuals (90% of the country’s population)—offer unprecedented opportunities to advance digital health innovation and research with global impact.
通过学习型健康系统实现精准医疗，人口层面健康数据与人工智能的协同应用至关重要。两项开创性举措——覆盖4.49亿欧盟公民的欧洲健康数据空间（EHDS），以及即将推出的德国健康数据实验室（可获取7500万参保人员的数据，占该国人口的90%）——为推进具有全球影响力的数字健康创新和研究提供了前所未有的机遇。
