- Klinik
- Anästhesie
- Intensivmedizin
- Notfallmedizin
- Schmerzmedizin
- Weiterbildung/Lehre
- Forschung
- Niedergelassene
- Kontakt
In the Network of University Medicine (NUM) project RAPID (Registry of Adult and Pediatric Intensive Care Data), we are establishing a nationwide, federated registry for routine data from adult and pediatric intensive care. Data are collected automatically from the intensive care information systems of participating hospitals and remain decentralized at the respective sites.
The aim is to create a standardized data basis for multicenter research, quality benchmarking, and pandemic and crisis preparedness. RAPID builds on existing NUM infrastructures, particularly AKTIN, and develops a standardized intensive care dataset including FHIR profiles.
Within the Scientific Working Group on Digital Medicine of the German Society of Anaesthesiology and Intensive Care Medicine (DGAI), we contribute to the standardization of clinical data and digital systems in anesthesiology and intensive care medicine. The aim is to define clinically relevant data in a standardized manner and thereby enable their interoperable use in patient care, quality management, and research.
In the European INDICATE project, we are developing a federated infrastructure for standardized intensive care data.
Our group focuses in particular on European-wide quality benchmarking: quality indicators are calculated locally on standardized routine data, while only aggregated results are compared across sites.
With CQL on OMOP, we enable standardized clinical logic written in Clinical Quality Language to be executed directly on data stored in the OMOP Common Data Model. This allows, for example, quality indicators and clinical decision rules to be reused across institutions.
We transform intensive care quality indicators into clearly defined, computer-interpretable criteria and link them to standardized terminologies and data models. This provides the basis for automated and comparable quality measurement across institutions.
