Systems medicine is a paradigm for translating in silico methods developed for modelling biological systems into the field of medicine. Such approaches rely on the integration of as many data sources as possible, both in the dimension of disease knowledge and patient data. This is a challenging task that can only be implemented in clinical routine with the help of suitable information technology from the field of Medical Informatics. For the research project "Clinically-applicable, omics-based assessment of survival, side effects, and targets in multiple myeloma" (CLIOMMICS) we developed a prototypical systems medicine application system. It is based on a three-level-architecture covering data representation, decision support, and user interface. The core decision support component is implemented as a case-based reasoning engine. However, the architecture follows a modular design that allows to replace individual components as needed.
Keywords: Systems medicine; case-based reasoning; clinical decision support; medical informatics.