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The generation and verification of hypotheses from large data sets requires an intensive examination of the underlying data structure. In current scientific practice, a not inconsiderable amount of time is required for the topic-specific design and preparation of data sources. The actual content analysis and semantic engagement with the existing data sets is highly dependent on the preceding data preparation process.

The Rapid Clinical Analytics group is working on heterogeneous tools and methods that are intended to facilitate and accelerate clinical data processing processes that are already established in everyday life. This includes, for example, novel data management and data visualization concepts. The aim is to make the visual representation of data more intuitive and reusable for end users with focus on analysis. Rapid Clinical Analytics can thus contribute to the generation of new insights and positively influence the daily practice of scientists and physicians.