• 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