Grundlagen für die wissenschaftliche Nutzung umfangreicher Versorgungsdaten in Deutschland – Ergebnisse der AG Data Sharing der Medizininformatik-Initiative
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Abstract
Healthcare data are an important resource in applied medical research. They are available multicentrically. However, it remains a challenge to enable standardized data exchange processes between federal states and their individual laws and regulations. The Medical Informatics Initiative (MII) was founded in 2016 to implement processes that enable cross-clinic access to healthcare data in Germany. Several working groups (WGs) have been set up to coordinate standardized data structures (WG Interoperability), patient information and declarations of consent (WG Consent), and regulations on data exchange (WG Data Sharing). Here we present the most important results of the Data Sharing working group, which include agreed terms of use, legal regulations, and data access processes. They are already being implemented by the established Data Integration Centers (DIZ) and Use and Access Committees (UACs). We describe the services that are necessary to provide researchers with standardized data access. They are implemented with the Research Data Portal for Health, among others. Since the pilot phase, the processes of 385 active researchers have been used on this basis, which, as of April 2024, has resulted in 19 registered projects and 31 submitted research applications.
Details
Originalsprache | Deutsch |
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Seiten (von - bis) | 648-655 |
Seitenumfang | 8 |
Fachzeitschrift | Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz |
Jahrgang | 67 |
Ausgabenummer | 6 |
Publikationsstatus | Veröffentlicht - Juni 2024 |
Peer-Review-Status | Ja |
Externe IDs
PubMedCentral | PMC11166769 |
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Scopus | 85191759247 |
Schlagworte
Schlagwörter
- Biomedical Research, Electronic Health Records/statistics & numerical data, Germany, Health Services Research, Humans, Information Dissemination, Medical Informatics, Medical Record Linkage/methods, Models, Organizational