In multidisciplinary oncological team meetings for patient-specific treatment decision-making, so-called tumor boards, usually one physician introduces a patient case verbally and proposes an initial therapy recommendation. This is followed by a short collaborative discussion of the recommendation’s suitability. While patient-related image data, such as CT and MR scans, are displayed during the discussion, clinical patient data must be memorized from the introduction or repeatedly inquired by the participating domain experts.

To support physicians in this concern, this thesis proposes a comprehensive visualization of longitudinal patient-specific information entities during case introduction and discussion. This visual approach advances over existing work by simultaneously providing an overview of the current patient status as well as of previous therapy measures and their effects on the status. The latter helps in relating the proposed recommendation to the former treatment strategy and its success. The visualization has been designed in close collaboration with dermatologists and oncologists aiming at a comprehensive yet easily comprehensible presentation of relevant patient-data and minimal user interaction. The usability and clinical relevance of a prototypical implementation of the visual approach have been evaluated in a qualitative user study with five domain experts based on real data of melanoma patients.