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
Link To Document