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Record link: 
http://hdl.handle.net/20.500.12708/54241
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Title: 
Challenges of Time-oriented Data in Visual Analytics for Healthcare
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Citation: 
Aigner, W., Federico, P., Gschwandtner, T., Miksch, S., & Rind, A. (2012). Challenges of Time-oriented Data in Visual Analytics for Healthcare. In J. J. Caban & D. Gotz (Eds.), Proceedings of the IEEE VisWeek Workshop on Visual Analytics in Healthcare (p. 4). http://hdl.handle.net/20.500.12708/54241
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Aigner, Wolfgang 
Federico, Paolo 
Gschwandtner, Theresia 
Miksch, Silvia 
Rind, Alexander 
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Organisational Unit: 
E193-07 - Forschungsbereich Visual Analytics 
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Published in: 
Proceedings of the IEEE VisWeek Workshop on Visual Analytics in Healthcare 
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Date (published): 
2012
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Event name: 
IEEE VisWeek Workshop on Visual Analytics in Healthcare 
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Event date: 
17-Oct-2012
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Event place: 
Seattle, Non-EU
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Number of Pages: 
4
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Peer reviewed: 
Yes
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Keywords: 
Visual Analytics; visualization; time-oriented data; healthcare; challenges
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Abstract: 
The visual exploration and analysis of time-oriented data in healthcare are important yet challenging tasks. This position paper presents six challenges for Visual Analytics in healthcare: (1) scale and complexity of time-oriented data, (2) intertwining patient condition with treatment processes, (3) scalable analysis from single patients to cohorts, (4) data quality and uncertainty, (5) interaction, user interfaces, and the role of users, and (6) evaluation. Furthermore, it portrays existing and future work by the authors tackling these challenges.
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Project title: 
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise) 
MobiGuide: Guiding Patients Anytime Everywhere: 287811 (European Commission) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
Mathematik, Informatik
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Appears in Collections:
Conference Paper

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