• DocumentCode
    2767207
  • Title

    Research on the comprehensive evaluation of patient satisfaction based on the attribute reduction and AHP

  • Author

    Lihua, Chen ; Kaihu, Hou ; Shaopeng, Sun ; Yunhai, Ji

  • Author_Institution
    Dept. of Ind. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    Focusing on the systematicness and validity of the evaluation system of the patient satisfaction, large number of factors impacting the patient satisfaction were considered comprehensively, the analytical method combining the Attribute Reduction in Rough Set with AHP was adopted. First, the evaluation factors were analyzed to establish the evaluation hierarchical model of the patient satisfaction, the indexes were reduced by Attribute Reduction based on the information quantity; then, the significance of attribute was used to determine the index weight; lastly, the total sequence weight of sub-criteria was calculated by AHP method and the comprehensive evaluation value was obtained. This model was used to evaluate and analyze the five hospitals in one area and the validity of this method was tested. This method reduces the amount of calculation, improves the computational efficiency and provides a method of quantitative analysis.
  • Keywords
    decision making; hospitals; patient care; rough set theory; AHP; analytic hierarchy process; attribute reduction; comprehensive evaluation system; computational efficiency improvement; evaluation hierarchical model; index weight determination; information quantity; patient satisfaction; rough set; subcriteria total sequence weight; Analytical models; Biomedical imaging; Hospitals; Indexes; Software reliability; Attribute Reduction; index weight; patient satisfaction; the significance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-2024-6
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2012.6252261
  • Filename
    6252261