Patient participation in research and care

Rapid technological progress in (bio)medical research has led to heterogeneous digital data of varying quality being available in medicine. Innovative IT solutions are needed so that these can be used for patient-centered decisions and scientific evaluations. In our research focus, these include disease-specific diagnosis and therapy support, the integration of data from heterogeneous sources and networked access by various partners, and artificial intelligence methods. In addition to classical AI approaches such as rule-based methods or machine learning, neural networks are increasingly being used.

In addition to purely technical development and deployment, we consider application systems as socio-technical systems and answer questions of information management such as confidentiality and quality of data as well as long-term traceability and archiving of medical decisions and research results.

The projects pursued are third-party funded projects, primarily together with clinical partners of the University Hospital and, in the case of application-related issues, in cooperation with industry. Examples of our projects in this area can be found in the menu 'Patient Participation in Research and Care'.