• DocumentCode
    555837
  • Title

    Pseudonmization techniques for clinical data: Privacy study in Sultan Ismail Hospital Johor Bahru

  • Author

    Rahim, Yahaya Abd ; Sahib, Shahrin ; Ghani, Mohd Khanapi Abd

  • Author_Institution
    Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia
  • fYear
    2011
  • fDate
    26-28 Sept. 2011
  • Firstpage
    74
  • Lastpage
    77
  • Abstract
    Privacy includes the right of individuals and organizations to determine for themselves when, how and to what extent information about them is communicated to others. The growing need of managing large amounts of data in hospital or clinical raises important legal and ethical challenges. This paper introduces and show the testing implementation of the privacy-protection problems, and highlights the relevance of trusted third parties and of privacy-enhancing techniques (PETs) in the context of data collection, e.g., for research. Practical approache on the pseudonymization model for batch data collection are presented. The actual application of the described techniques today proves the possible benefits for medicine that innovative privacy-enhancing techniques can provide. Technical PET solutions can unlock valuable data sources, otherwise not available.
  • Keywords
    data privacy; hospitals; medical information systems; Sultan Ismail Hospital Johor Bahru; batch data collection; clinical data; data collection; data management; innovative privacy enhancing technique; pseudonymization model; technical PET solution; Data privacy; Databases; Payloads; Privacy; Registers; Risk management; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing (INC), 2011 The 7th International Conference on
  • Conference_Location
    Gyeongsangbuk-do
  • Print_ISBN
    978-1-4577-1129-9
  • Electronic_ISBN
    978-89-88678-43-5
  • Type

    conf

  • Filename
    6058948