IDEAS home Printed from https://ideas.repec.org/a/anm/alpnmr/v5y2017i1p127-146.html
   My bibliography  Save this article

Process Improvement Using Quality Function Deployment in the Healthcare Sector

Author

Listed:
  • Sinem Gündoğdu
  • Ali Görener

Abstract

Although hospitals are important facilities for human health, they are not the places that people usually want to be in. It is necessary to create an environment that will make people feel like they are at home rather than at the hospital in order to break this feeling. In order to provide this environment in hospitals, patient-oriented service approach should be taken and appropriate processes should be designed. In this context, the opinions of the patients should be taken into account. In this research, the patient expectations regarding the blood collection process in a private hospital were evaluated. The current situation of the hospital, the relationships between expectations and requirements, and the competitors are taken into account and a quality function deployment technique is used.

Suggested Citation

  • Sinem Gündoğdu & Ali Görener, 2017. "Process Improvement Using Quality Function Deployment in the Healthcare Sector," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(1), pages 127-146, June.
  • Handle: RePEc:anm:alpnmr:v:5:y:2017:i:1:p:127-146
    DOI: http://dx.doi.org/10.17093/alphanumeric.307149
    as

    Download full text from publisher

    File URL: http://www.alphanumericjournal.com/media/Issue/volume-5-issue-1-2017/saglik-sektorunde-kalite-fonksiyon-yayilimi-ile-surec-iyilestirme.pdf
    Download Restriction: no

    File URL: http://alphanumericjournal.com/article/saglik-sektorunde-kalite-fonksiyon-yayilimi-ile-surec-iyilestirme/
    Download Restriction: no

    More about this item

    Keywords

    Healthcare; Hospital; Process Improvement; Quality Function Deployment (QFD);

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    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:anm:alpnmr:v:5:y:2017:i:1:p:127-146. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Bahadir Fatih Yildirim). General contact details of provider: http://www.alphanumericjournal.com/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.