• DocumentCode
    165262
  • Title

    Data model to enhance the security and privacy of healthcare data

  • Author

    Asija, Ruchika ; Nallusamy, Rajarathnam

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Indira Gandhi Nat. Open Univ., New Delhi, India
  • fYear
    2014
  • fDate
    26-27 Sept. 2014
  • Firstpage
    237
  • Lastpage
    244
  • Abstract
    With an immense amount of data and growing array of end-user devices, the security and privacy in healthcare is becoming a challenge. Shifting technologies and changing regulations are required to refocus on security techniques for the protection of sensitive healthcare data. For the storage and exchange of healthcare data, Extensible Markup Language (XML) is widely used. But, while using the XML and its technologies, the security and privacy of the data as governed by relevant laws and regulations must be complied with. In this paper, we propose a data model which enhances security and privacy of the data by attaching security levels with data itself which is expressed in the form of XML. The security levels of the data and all type of users accessing the data are defined inside an XML schema.
  • Keywords
    XML; data privacy; law; medical information systems; security of data; XML schema; data model; end-user devices; extensible markup language; healthcare data privacy; healthcare data security; laws; regulations; security levels; security techniques; sensitive healthcare data; Authorization; Data privacy; Medical services; Standards; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS), 2014 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4799-4098-1
  • Type

    conf

  • DOI
    10.1109/GHTC-SAS.2014.6967590
  • Filename
    6967590