IDEAS home Printed from https://ideas.repec.org/a/igg/jicthd/v1y2009i4p58-71.html
   My bibliography  Save this article

Enhancing Service Quality in Hospitals: Mining Multiple Data Sources

Author

Listed:
  • Anirban Chakraborty

    (Lal Bahadur Shastri Institute of Management, India)

  • Sonal G. Rawat

    (Lal Bahadur Shastri Institute of Management, India)

  • Susheel Chhabra

    (Lal Bahadur Shastri Institute of Management, India)

Abstract

Large organizations use multiple data sources, centralize processing in these organizations require analysis of huge database originating from various locations. Data mining association rules help perform exploration and analysis of large amounts of data to discover meaningful patterns which can facilitate effective decision-making. The objective of this article is to enhance service quality in a hospital using data mining. The improvement in service quality will help to create hygienic environment and enhance technical competence among staff members which will generate value to patients. A weighting model is proposed to identify valid rules among large number of forwarded rules from various data sources. This model is applied to rank the rules based on patient perceived service parameters in a hospital. Results show that this weighting model is efficient. The proposed model can be used effectively for determining the patient’s perspective on hospital services like technical competence, reliability and hygiene conditions under a distributed environment.

Suggested Citation

  • Anirban Chakraborty & Sonal G. Rawat & Susheel Chhabra, 2009. "Enhancing Service Quality in Hospitals: Mining Multiple Data Sources," International Journal of Information Communication Technologies and Human Development (IJICTHD), IGI Global, vol. 1(4), pages 58-71, October.
    • Handle: RePEc:igg:jicthd:v:1:y:2009:i:4:p:58-71
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jicthd.2009091505
    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:jicthd:v:1:y:2009:i:4:p:58-71. 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.