DocumentCode :
1581321
Title :
Visual Analytics for Public Health: Supporting Knowledge Construction and Decision-Making
Author :
Al-Hajj, Samar ; Pike, Ian ; Riecke, Bernhard ; Fisher, Brian
fYear :
2013
Firstpage :
2416
Lastpage :
2423
Abstract :
Massive and complex data impose a challenge on the public health community to explore, analyze, and synthesize valuable information to make timely informed decisions. This study exploits the use of Visual Analytics (VA) to enable health professionals to understand heterogeneous injury data and decide about dynamic health situations. Visual Analytics is defined as the "science of analytical reasoning facilitated by interactive visual interface"[14]. We conducted collaborative Paired and Group Analytics sessions to examine how VA assists health professionals in investigating injury data as well as in supporting knowledge construction and decision-making. This manuscript reports how stakeholders perceived VA to be usefulness in helping them understand the injury data, get insights and build knowledge that could potentially prompt actions into critical health situations. Future study implications can inform the design of innovative VA tools and techniques that synthesize novel collaborative VA approaches to optimize the decision-making process.
Keywords :
Collaboration; Data visualization; Decision making; Injuries; Time series analysis; Visual analytics; Decision Making; Group Analytics; Paired Analytics; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, HI, USA
ISSN :
1530-1605
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2013.599
Filename :
6480137
Link To Document :
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