利用数据改善医疗保健--呼吁建立法定医疗保险、私人医疗保险和大学医学网络(NUM)的合作研究数据平台。

IF 0.7 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jochen Schmitt, Peter Ihle, Olaf Schoffer, Jens-Peter Reese, Steffen Ortmann, Enno Swart, Sabine Hanß, Falk Hoffmann, Christoph Stallmann, Monika Kraus, Sebastian Claudius Semler, Ralf Heyder, Jörg Janne Vehreschild, Peter Heuschmann, Dagmar Krefting, Martin Sedlmayr, Wolfgang Hoffmann
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引用次数: 0

摘要

与大学医学网络(NUM)和医学信息学倡议(MII)一起,BMBF正在资助两个开创性的、构建结构的研究措施,这些措施现在正在合并。卫生部的数据整合中心(DIZ)将整合到全国信息系统中,目的是建立一个标准化的研究基础设施,在该基础设施中,来自36所德国大学医院的临床常规护理、临床队列和临床流行病学研究的现有数据可应要求并通过协调的过程用于各种研究问题。这方面的法律依据是卫生部的“知情广泛同意”,该“知情广泛同意”已与道德委员会和数据保护当局达成一致,并在全国矿工协会所有地点实施,其中有一个所谓的“健康保险模块”,允许从法定健康保险基金(GKV)和私营健康保险公司(PKV)收集和链接常规医疗数据,作为与护理有关的数据类别(VeDa)。将这些常规数据与来自医院信息系统的数据联系起来提供了特别高的潜力,因为没有任何一个数据源能够提供医疗保健的完整图景,而且这两个数据源可以最佳地相互补充。目前的目标是与法定健康保险基金和私营健康保险公司建立战略伙伴关系,将这些常规数据纳入全国健康保险协会安全、透明和参与性的研究基础设施。这促进了德国作为研究地点的作用,并以循证方式为提高德国医疗保健的质量和安全作出了决定性贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Access to and use of Data for better Healthcare: A Plea for a cooperative data and Research Infrastructure of Statutory and Private Health Insurers and the Network University Medicine (NUM)].

With the Network of University Medicine (NUM) and the Medical Informatics Initiative (MII), the BMBF is funding two pioneering, structure-building research measures that are now being merged. The data integration centers (DIZ) of the MII are to be consolidated in the NUM. The aim is to establish a standardized research infrastructure within which the existing data from the clinical routine care of the 36 German university hospitals, from clinical cohorts and clinical-epidemiological studies can be used for various research questions upon request and via coordinated processes. The legal basis for this was the MII's "Informed Broad Consent", which had been agreed upon with ethics committees and data protection authorities and implemented in all NUM locations, with a so-called "health insurance module" that allows the collection and linking of routine medical data from statutory health insurance funds (GKV) and private health insurers (PKV) as a category of care-related data (VeDa). Linking this routine data with data from hospital information systems offers particularly high potential, as no single data source provides a complete picture of medical care and the two data sources complement each other optimally. The aim now is to integrate this routine data into the NUM's secure, transparent and participatory research infrastructure in a strategic partnership with statutory health insurance funds and private health insurance companies. This promotes Germany in its role as a research location and makes a decisive contribution to improving the quality and safety of healthcare in Germany in an evidence-based manner.

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来源期刊
Gesundheitswesen
Gesundheitswesen PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.90
自引率
18.20%
发文量
308
期刊介绍: The health service informs you comprehensively and up-to-date about the most important topics of the health care system. In addition to guidelines, overviews and comments, you will find current research results and contributions to CME-certified continuing education and training. The journal offers a scientific discussion forum and a platform for communications from professional societies. The content quality is ensured by a publisher body, the expert advisory board and other experts in the peer review process.
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