• DocumentCode
    85993
  • Title

    Trustworthy Processing of Healthcare Big Data in Hybrid Clouds

  • Author

    Nepal, Surya ; Ranjan, Rajiv ; Choo, Kim-Kwang Raymond

  • Author_Institution
    Digital Productivity Flagship, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Clayton, VIC, Australia
  • Volume
    2
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar.-Apr. 2015
  • Firstpage
    78
  • Lastpage
    84
  • Abstract
    A 2015 Gartner report noted that data processing technologies haven´t kept pace with the significant increase in the volume of digital healthcare data, and an integrated and trustworthy healthcare analytics solution can facilitate more effective decision making in patient care and risk management, improving quality of life, optimizing performance of services, and so on. The challenge is how to ensure data confidentiality and integrity when storing such data but still make it highly available, process it to extract actionable information for decision makers, including medical professionals, and share it with collaborators, while preserving the privacy of individual patients and giving them the full control of their data at all times. This challenge calls for a trustworthy big data processing platform.
  • Keywords
    Big Data; cloud computing; data integrity; data privacy; decision making; health care; medical computing; patient care; risk management; trusted computing; data confidentiality; data integrity; data processing technologies; decision making; digital healthcare data; healthcare big data; hybrid clouds; integrated healthcare analytics solution; patient care; risk management; trustworthy big data processing platform; trustworthy healthcare analytics solution; Big data; Biomedical imaging; Cloud computing; Cryptography; Data privacy; Medical services; Internet-connected devices; big data; big data processing; cloud computing; healthcare; privacy;
  • fLanguage
    English
  • Journal_Title
    Cloud Computing, IEEE
  • Publisher
    ieee
  • ISSN
    2325-6095
  • Type

    jour

  • DOI
    10.1109/MCC.2015.36
  • Filename
    7116439