This site uses third party services that need your consent.
Learn about the areas that the BI-K specializes in.
Learn more about our research projects
Learn about the different programs that we’ve developed
Learn about our publications and articles
Learn about our different research groups
Learn about our collaborations with research partners.
Learn about the current classes BI-K offers
Learn about the interesting thesis topics BI-K offers
© University of Cologne and University Hospital Cologne Institute for Biomedical Informatics
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. [...]
[...] "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.
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. [...]
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. [...]
There are more than 6,000 diseases, each of which is extremely rare. In total, however, several million people are affected in Germany alone. A disease is considered “rare” if it affects no more than five in 10,000 people. The National Register for Rare Diseases (NARSE) serves to record as many affected people as possible in the long term in order to determine the health effects and care structures of these diseases in Germany. [...]
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. [...]
