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Schmitt, J.* ; Ihle, P.* ; Schoffer, O.* ; Reese, J.P.* ; Ortmann, S.* ; Swart, E.* ; Hans, S.* ; Hoffmann, F.* ; Stallmann, C.* ; Kraus, M. ; Semler, S.C.* ; Heyder, R.* ; Vehreschild, J.J.* ; Heuschmann, P.* ; Krefting, D.* ; Sedlmayr, M.* ; Hoffmann, W.*

Datennutzung für eine bessere Gesundheitsversorgung–Plädoyer für eine kooperative Forschungsdatenplattform der gesetzlichen und privaten Krankenversicherung und dem Netzwerk Universitätsmedizin (NUM).

Gesundheitswesen, DOI: 10.1055/a-2438-0670 (2024)
Postprint DOI PMC
Open Access Hybrid
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Fachkommentar, Meinungsartikel
Schlagwörter routine healthcare data; Linkage; consent; university medicine; infra structure; health services research; routine healthcare data; linkage; consent; university medicine; infra structure; health services research; Railway Traffic Noise; Aircraft; Road
Sprache deutsch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 0941-3790
e-ISSN 1439-4421
Zeitschrift Gesundheitswesen, Das
Verlag Thieme
Verlagsort Rudigerstr 14, D-70469 Stuttgart, Germany
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504091-004
DOI 10.1055/a-2438-0670
WOS ID 001373401500001
Scopus ID 85214712745
PubMed ID 39389575
Erfassungsdatum 2024-10-17
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