Data-driven research in the health sector depends therefore on the exploitation of distributed sources of data and tissue samples. Two significant fields of research emerge from these requirements. First, establishing the basis for carrying out research efficiently in networked federations at the technical and data content levels. Second, the implementation of regulatory requirements, which arise naturally during the processing of sensitive patient data (e.g. data protection).
In the Department of Federated Information Systems, we investigate problems that frequently arise in networked medical research:
- Semantics of data, to provide a common understanding of their meaning
- Multi-center integration of data from heterogeneous sources
- Data protection, consent management, record linkage and pseudonymization
- Distributed processes for evaluating and exchanging data
- Measurement and improvement of data quality over multiple sites
We are actively engaged in developing interoperable and reusable tools for tackling the problems in this area. In addition, we have deployed our solutions in national and international treatment federations. With our “Bridgeheads” we have created a network of exceptional partners (cf. diagram).
