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Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation

  • Alexander Rind
  • Wolfgang Aigner
  • Silvia Miksch
  • Sylvia Wiltner
  • Margit Pohl
  • Thomas Turic
  • Felix Drexler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7058)

Abstract

Medical care, particularly for chronic diseases, accumulates a huge amount of patient data over extensive time periods that needs to be accessed and analyzed accordingly. Information Visualization methods hold great promises in turning data deluge into improved quality of medical care. Yet, patient data management systems mostly provide documents, form-based displays, or static visualizations. We present a design study of an interactive visualization system, called VisuExplore, to support long-term care and medical analysis of patients with chronic diseases. VisuExplore offers interaction techniques for effective exploration of time-oriented data and employs simple, but intuitive visualization techniques. It was developed in close cooperation with physicians. We conducted two user studies with nine physicians and 16 students, which indicate that our design is useful and appropriate for particular tasks.

Keywords

Information Visualization time-oriented data medical information systems visual exploration interaction techniques user study 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alexander Rind
    • 1
    • 3
  • Wolfgang Aigner
    • 1
    • 3
  • Silvia Miksch
    • 1
    • 3
  • Sylvia Wiltner
    • 2
  • Margit Pohl
    • 2
  • Thomas Turic
    • 3
  • Felix Drexler
    • 4
  1. 1.Institute of Software Technology & Interactive SystemsVienna University of TechnologyAustria
  2. 2.Research Group Human Computer InteractionVienna University of TechnologyAustria
  3. 3.Department of Information and Knowledge EngineeringDanube University KremsAustria
  4. 4.Landesklinikum KremsAustria

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