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
{"title":"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。","authors":"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","doi":"10.1055/a-2438-0670","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":47653,"journal":{"name":"Gesundheitswesen","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[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)].\",\"authors\":\"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\",\"doi\":\"10.1055/a-2438-0670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":47653,\"journal\":{\"name\":\"Gesundheitswesen\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gesundheitswesen\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2438-0670\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gesundheitswesen","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2438-0670","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
[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.
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.