• DocumentCode
    3727219
  • Title

    Quality of information for quality of life: Healthcare big data analytics

  • Author

    GGT Dantanarayana;Tony Sahama;GN Wikramanayake

  • Author_Institution
    Department of Computer Science, University of Ruhuna Sri Lanka
  • fYear
    2015
  • Firstpage
    281
  • Lastpage
    281
  • Abstract
    Business intelligence and analytics, and big data analytics have become increasingly important in describing the data sets and analytical techniques in software applications that are so large and complex. These two techniques have been used as analytics by several e-commerce communities. For example, vendors such as Amazon and eBay have adapted these techniques to significantly advance in innovative and highly recommended scalable e-commerce platforms and product systems to target potential customers thus increasing business revenues. In a similar context, the health community have experienced not only more complex and large data content, but also information systems that contain a large number of data sources with interrelated data. Furthermore, due to the increasing diversity and differentiation of expansions by service providers in the form of primary or nursing care, a variety of service organisations in the public and private hospital networks including new medical specialist facilities have resulted in challenging, and highly dynamic environments resulting in the creation of big data with its enumerate complexities, for instance sharing information with expected security requirements of stakeholders. Therefore, the health community will have to adapt the concept of big data analytics in order to solve major issues that have occurred due to complex shared information.
  • Publisher
    ieee
  • Conference_Titel
    Advances in ICT for Emerging Regions (ICTer), 2015 Fifteenth International Conference on
  • Print_ISBN
    978-1-4673-9440-6
  • Type

    conf

  • DOI
    10.1109/ICTER.2015.7377714
  • Filename
    7377714