Core data set for microbiology

Core data set for microbiology – data standard for the shared use of data in university medicine

The consistent implementation of the core data set for microbiology from the Medical Informatics Initiative (MII) offers our faculty enormous opportunities for research, teaching, profile building, and third-party funding acquisition. The core data set defines which microbiological data should be standardized and stored university-wide, including laboratory tests such as culture, microscopy, molecular diagnostics, serology, and immunology. In addition, characteristics of microorganisms such as pathogen names, resistance mechanisms, and examined biological samples are recorded. The MRGN classification of the Robert Koch Institute can also be mapped using the data model. Modeling is performed interoperably according to HL7 FHIR via ART-DECOR and Forge/Simplifier.net.

At the Dresden site, the core data set for microbiology is currently being actively implemented and prepared for provision in the local data integration center (DIZ). The work is being carried out in close interdisciplinary collaboration between the Center for Medical Informatics (ZMI), in particular Dr. Elisa Henke, and Clinical Infectiology, in particular Dott. Romina Kardashi.

For clinical research, this means that cross-location studies become possible and methods and evaluation scripts can be easily reused. Digital standardization also strengthens the university's profile as an innovative center for university medicine and facilitates connections to national research infrastructures, including not only the Medical Informatics Initiative (MII), but also the nationwide University Medicine Network (NUM), in which Dresden University Medicine now participates in 20 research projects and infrastructures, and the National Research Data Infrastructure (NFDI).

Current links to the core data set include:

•    Risk Principe (MII): Development of a prediction model for hospital infections such as HOBSI (Hospital-Onset Bloodstream Infections).

•    NUM Study Network: Establishment of a Germany-wide infrastructure for clinical and clinical-epidemiological studies.

•    NUM SNID – Specialist Network for Infections: Networking of expertise in the prevention and treatment of infectious diseases.

The use of the MII core data set enables sustainable, digital, and networked university medicine that is visible both nationally and internationally and facilitates research collaborations.

Further information:  

• MII Kerndatensatz Mikrobiologie
• https://www.gesundheitsforschung-bmftr.de/de/risk-principe-medizininformatik-use-case-risk-prediction-for-risk-stratified-infection-16934.php
• https://www.uniklinikum-dresden.de/de/das-klinikum/universitaetscentren/zentrum-fuer-medizinische-informatik/leistungen/risk-principe-risk-prediction-for-risk-stratified-infection-control-and-prevention
• https://www.netzwerk-universitaetsmedizin.de/plattformen/num-studiennetzwerk-num-sn
• https://www.uniklinikum-dresden.de/de/das-klinikum/universitaetscentren/zentrum-fuer-medizinische-informatik/leistungen/num-studiennetzwerk-studiennetzwerk-des-netzwerk-universitaetsmedizin-mit-integriertem-fachnetzwerk-infektionsmedizin
• https://www.netzwerk-universitaetsmedizin.de/media/news/detail/gemeinsam-gegen-infektionskrankheiten-das-fachnetzwerk-infektionen-waechst

To the MII-LinkedIn post: https://bit.ly/45xookf