• DocumentCode
    3677871
  • Title

    Security Solutions for Big Data Analytics in Healthcare

  • Author

    Smitha Rao;S.N. Suma;M. Sunitha

  • Author_Institution
    Dept. of MCA, Dayananda Sagar Coll. of Arts Sci. &
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    510
  • Lastpage
    514
  • Abstract
    Today data is a strategic asset and organizational goal is to maximize the value of their information. A growing number of companies are using technology to store and analyze petabytes of data including web logs, click stream data and social media content to gain better insights about their customers and their business. Big Data analytics provides enormous competitive advantage for corporations, helping the businesses, tailor their products to consumer needs. Big data in healthcare refers to electronic health data sets that are related to patient healthcare and well-being. In healthcare sector the privacy and security issues of big data are a major concern as data is bound by international regulations like the Health Insurance Portability and Accountability Act (HIPAA), The Health Information Technology for Economic and Clinical Health (HITECH), HCSC, FTC (Federal Trade Commission) etc. In Hospital Information System the applications/modules that are impacted by big data are genomics, pharmacovigilance, patient care etc. The aim of this paper is to present various viable security solutions to harness the potential of big data pertaining to healthcare in a highly regulated environment.
  • Keywords
    "Big data","Medical services","Security","Databases","Data privacy","Business","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
  • Print_ISBN
    978-1-4799-1733-4
  • Type

    conf

  • DOI
    10.1109/ICACCE.2015.83
  • Filename
    7306738