• DocumentCode
    496222
  • Title

    Privacy enforcement for distributed healthcare queries

  • Author

    Siegenthaler, Michael ; Birman, Ken

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the healthcare industry and others, sensitive private information must be stored and shared between various organizations in the course of running their business. We have developed an architecture in which distributed data can be queried as if it resided in a single centralized database, while revealing minimal information beyond the answer to the query. In this paper we review the architecture and show how queries can be filtered to enforce user-specified privacy policies.We present a system for tracking information flow that is flexible enough to permit revealing sensitive data to those who have a need to know, while limiting the amount of useful information that can be obtained by a less-than-honest participant.
  • Keywords
    data privacy; distributed processing; health care; medical information systems; query processing; centralized database; distributed healthcare queries; healthcare industry; privacy enforcement; sensitive private information; Computer science; Costs; Data privacy; Data security; Databases; Drugs; History; Medical services; Protection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-963-9799-42-4
  • Electronic_ISBN
    978-963-9799-30-1
  • Type

    conf

  • DOI
    10.4108/ICST.PERVASIVEHEALTH2009.6016
  • Filename
    5191221