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Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

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Introducing a versatile Medical Informatics Initiative Core Data Set computing tool chain

Meeting Abstract

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  • Sebastian Stäubert - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Alexander Strübing - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Florian Schmidt - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Maryam Yahiaoui-Doktor - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Matthias Reusche - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Frank A. Meineke - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Daniel Neumann - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
  • Markus Löffler - Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 643

doi: 10.3205/24gmds043, urn:nbn:de:0183-24gmds0431

Veröffentlicht: 6. September 2024

© 2024 Stäubert et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.

Gliederung

Text

To support research projects that require medical data from multiple sites is one of the goals of the German Medical Informatics Initiative (MII). The data integration centers (DIC) at university medical centers in Germany provide patient data via FHIR® in compliance with the MII core data set (CDS). Requirements for data protection and other legal bases for processing prefer decentralized processing of the relevant data in the DICs and the subsequent exchange of aggregated results for cross-site evaluation. With the CDS tool chain, we have created software components for decentralized processing on the basis of the MII CDS. The CDS tool chain requires access to a local FHIR endpoint and then transfers the data to an SQL database. This is accessed by the DataProcessor component, which performs calculations with the help of rules (input repo) and writes the results back to the database. The CDS tool chain also has a frontend module (REDCap), which is used to display the output data and calculated results, and allows verification, evaluation, comments and other responses. This feedback is also persisted in the database and is available for further use, analysis or data sharing in the future.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.