Visual analytics for workflow support
Supporting clinical researchers studying the characteristics of patient cohorts.
A modern hospital consists of many specialized departments, like, for instance, the departments of anesthesia, oncology, radiology and cardiology. Hence, managing the organically evolving workflow of such an organization is a complex task, which requires the extraction of valuable information from the data that is being recorded at virtually every stage in an increasing rate. Moreover, there is a range of perspectives on the workflow depending on the functional role of an individual staff or type of patient.
Our primary focus is on supporting clinical researchers studying the characteristics of patients having a statistical factor in common (a cohort), which include the effects or trends after treatment. By combining statistical methods through machine learning with interactive visualization, an environment is created for exploratory data analysis, tailored towards the specific needs of the analyst.