• DocumentCode
    2617788
  • Title

    Assuring data and information quality in eHealth

  • Author

    Su, Ying ; Talburt, John R.

  • Author_Institution
    Inf. Quality Lab., Inst. of Sci. & Tech. Inf. of China, Beijing, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    3880
  • Lastpage
    3884
  • Abstract
    As organizations have begun increasingly to communicate and interact with consumers via the wireless, so the data and information quality (DIQ) of their offerings has become a central issue since it ensures service usability and utility for each visitor and, in addition, improves server utilization. In this article, we present Quality-enable eHealth system architecture, eQualityHealth, by introducing a DIQ broker module between service clients and providers (servers). The functions of the DIQ broker module include assessing DIQ about servers, making selection decisions for clients, and negotiating with servers to get DIQ agreements. We study a data quality assurance algorithms used by DIQ brokers acting as the front-end of servers. The goal of this qualitative algorithms based on fuzzy computing is to measure the data quality and to facilitate user participation.
  • Keywords
    client-server systems; fuzzy set theory; health care; medical information systems; quality assurance; telemedicine; DIQ broker module; data quality assurance; eQualityHealth; fuzzy computing; information quality; quality-enable ehealth system architecture; Authorization; Indexes; Medical services; Pragmatics; Servers; Smart homes; Wireless communication; data quality; ehealth; entity resolution; information quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5974534
  • Filename
    5974534