Germany and Europe lead digital innovation and AI with collaborative health data use at continental level

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-04-20 DOI:10.1038/s41746-025-01631-0

Daniel C. Baumgart, Joseph C. Kvedar

引用次数: 0

Abstract

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.

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德国和欧洲在数字创新和人工智能方面处于领先地位，并在欧洲大陆层面协作使用卫生数据

协作使用人口水平的卫生数据和人工智能对于通过学习型卫生系统实现精准卫生至关重要。两项开创性的举措——覆盖4.49亿欧盟公民的欧洲健康数据空间（EHDS），以及即将成立的德国健康数据实验室（Health Data Lab），提供对7500万参保个人（占德国人口的90%）数据的访问——为推动具有全球影响的数字健康创新和研究提供了前所未有的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.