• DocumentCode
    116787
  • Title

    Statistical analysis service of e-healthcare record on iPad system

  • Author

    Chan-Yong Park ; Joon-Ho Lim ; Han Hyung Soo

  • Author_Institution
    Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    315
  • Lastpage
    316
  • Abstract
    As society is aging, many personal devices for healthcare have recently been developed. In response to the increase in the individual development of health devices, the many standard has been established for the gathering of health measurement data. And, a system which synthetically manages and analyzes personal health record gathered from devices is required. In this paper, we propose statistical analysis service of e-healthcare record which collect personal health record based on ISO/IEEE 11073 PHD standard. The gathered health record is transferred to database server through secure internet channel. In the database server, collecting data are stored in the medical record database and processed in statistical analysis in order to support decision making for doctor and researcher and use various healthcare services such as chronic disease management, aging independently, and etc.
  • Keywords
    IEEE standards; ISO standards; decision making; diseases; electronic health records; health care; mobile computing; notebook computers; statistical analysis; ISO/IEEE 11073 PHD standard; Internet channel security; chronic disease management; database server; decision making; e-healthcare record; health devices; health measurement data gathering; healthcare services; iPad system; medical record database; personal health record analysis; personal health record management; statistical analysis service; Analysis of variance; Databases; Logistics; Medical services; Servers; Tablet computers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2014 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4799-1290-2
  • Type

    conf

  • DOI
    10.1109/ICCE.2014.6776021
  • Filename
    6776021