Improving the Analysis Process of Computerized Protocols and Temporal Data by Integrated Visualization Techniques - Evaluation Aspects

Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatment steps is an important source for finding reasons and explanations for certain phenomena in the measured patient data. But this kind of information is mostly spared out in the analysis process. We describe interactive visualization methods to integrate and combine classical data visualization with the visualization of treatment information in terms of logic and temporal aspects called CareVis. We provide multiple simultaneous views to cover di! erent aspects of a complex underlying data structure of treatment plans and patient data. The user-centered development approach applied for these interactive visualization methods has been guided by user input gathered via a user study, design reviews, and prototype evaluations. Furthermore, the core aspect of visualizing treatment plans in the temporal domain has been investigated via a comparative empirical user study. Main results are that PlanningLine users make fewer mistakes and are faster in conducting tasks than users of a traditional visualization technique.

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