University Hospital Mannheim

The University Medical Centre Mannheim has epitomized interdisciplinary state-of-the-art medical treatment in Germany for over 200 years. Each year over 250 000 outpatients and hospitalized patients receive medical treatment and care from our 4 800 employees. As a medium-sized university hospital, medical and scientific quality is just as important as individual and personal contact with our patients.

Projects

NUM DIZ 3.0

The NUM-DIZ project of the Network of University Medicine (NUM) builds on the preliminary work of the Medical Informatics Initiative (MII), within which Data Integration Centres (DIZ) have been established at most German academic medical centers with the aim of supporting data provision and cross-site data integration and analysis. [...]

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PM⁴Onco

[...] "Personalized Medicine for Oncology" (PM⁴Onco) aims to create a permanent infrastructure for the secure use and exchange of data from clinical and biomedical research. The precise analysis of genetic changes in tumors at the respective stage of the disease is crucial so that molecular tumor boards in oncology centers of excellence can recommend the most appropriate individual therapy.

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PrivateAIM

PrivateAIM (Privacy-preserving Analytics in Medicine) is dedicated to bridging the gap between data privacy and medical innovation. Following the "Code to Data" principle ensures that patient data remains securely stored within university hospitals, while only analysis algorithms are exchanged. [...]

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NUM-RDP

The NUM Routine Data Platform (NUM-RDP) project aims to provide a generic routine data platform. "Routine data" here means clinical routine documentation data from patient care. In the first funding period, the NUM added the option of centralised, cross-institutional data consolidation, storage and output to the existing structures of the Medical Informatics Initiative (MII) for federated data storage and analysis. [...]

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NUM-Codex plus

Development of a nationwide standardised, data protection-compliant infrastructure for the storage and provision of COVID-19 research datasets. Among other things, a comprehensive database, data collection tools, use & access procedures and a trust centre are planned. [...]

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