Interactive visualization for information analysis in medical diagnosis

Authors:
B. L. William Wong;Kai Xu;Andreas Holzinger
Affiliations:
Interaction Design Center, School of Engineering and Information Sciences, Middlesex University, London, UK;Interaction Design Center, School of Engineering and Information Sciences, Middlesex University, London, UK;Research Unit Human-Computer Interaction, Institute for Medical Informatics, Statistics and Documentation (IMI), Medical University Graz, Graz, Austria
Venue:
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Year:
2011

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Abstract

This paper investigates to what extend the findings and solutions of information analysis in intelligence analysis can be applied and transferred into the medical diagnosis domains. Interactive visualization is proposed to address some of the problems faced by both domain. Its design issues related to selected common problems are then discussed in details. Finally, a visual sense making system INVISQUE is used as an example to illustrate how the interactive visualization can be used to support information analysis and medical diagnosis.