VisuExplore Screenshots

This upload contains open-access screenshots of the VisuExplore prototype that were originally published on the website http://ieg.ifs.tuwien.ac.at/projects/VisuExplore/ in 2012.

VisuExplore is a flexible interaction and visualization framework for an electronic health record of a single patient. It presents the development of multiple heterogeneous medical variables over time. A particular focus was set on a high level of usability by using simple and easy-to-understand visual representation methods. In addition, VisuExplore is an extensible platform for further research developments. For example, three further visual representation methods were implemented and integrated during the project: a semantic zoom chart (based on [Bade et al., 2004]) to combine quantitative data (e.g., body temperature) and qualitative abstraction thereof (e.g., “high fever”), a horizon graph (based on [Reijner, 2008]) for a particularly space-efficient display of large amounts of numerical variables, and a document browser.

Figure captions:

• VisuExplore prototype with simple and easy-to-understand visual representation methods: Line plot, bar chart, event chart, and timeline chart.
• VisuExplore prototype with advanced visual representation methods: Document browser, semantic zoom chart, and horizon graph
• Interaction techniques for reading values: Mouse-over tooltip, table panel with linked selection, mouse tracker
• Customizing the line plot: (1) default setting, (2) zoom y-axis to data range, (3) extend y-axis to zero, and (4) use smaller marks and thinner lines
• Flexibility of visual representation: Four variables (1) in a horizon graph, (2) combined in a line plot, or (3) in separate line plots
• Measure tool: A metaphorical tape measure for the time interval between two items (also across multiple diagrams)

Publications based on VisuExplore:

• Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Turic, T., & Drexler, F. (2011). Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation. In A. Holzinger & K.-M. Simonic (Eds.), Information Quality in e-Health, Proc. USAB 2011 (Vol. 7058, pp. 301–320). Springer. https://doi.org/10.1007/978-3-642-25364-5_22
• Pohl, M., Wiltner, S., Rind, A., Aigner, W., Miksch, S., Turic, T., & Drexler, F. (2011). Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2011 (Vol. 6949, pp. 292–299). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23768-3_24