IDEAS home Printed from https://ideas.repec.org/a/igg/jehmc0/v4y2013i4p102-119.html
   My bibliography  Save this article

The Application of Intelligent Keywords to Patient Adherence Management System

Author

Listed:
  • Yin-Pin Yang

    (Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan)

  • Tsai-Ya Lai

    (Service Systems Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan)

Abstract

Health behavior change is the key challenge for healthcare intervention adherence management. For each treatment planning, patient adherence can be managed, audited, and improved by the Patient Adherence Management System applying Intelligent Keyword (PAMSIK) featuring the use of intelligent keywords, which has been design to navigate users to the target in-time knowledge and also leverage the collective power – peer learning to encourage patients. Three major components of PAMSIK are: an autonomous, intelligent, friendly User Behavior Collector to identify patient's personal adherence problems, a Patient Similarity Analyzer to dynamically cluster peers, and a Cure Service Dispatcher to recommend suitable cures and thus deliver prompt services and in-time contents to users.

Suggested Citation

  • Yin-Pin Yang & Tsai-Ya Lai, 2013. "The Application of Intelligent Keywords to Patient Adherence Management System," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 4(4), pages 102-119, October.
  • Handle: RePEc:igg:jehmc0:v:4:y:2013:i:4:p:102-119
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijehmc.2013100107
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jehmc0:v:4:y:2013:i:4:p:102-119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.