Combined medical quality assessment using the evidential reasoning approach

被引:72
作者
Kong, Guilan [1 ]
Xu, Dong-Ling [2 ]
Yang, Jian-Bo [2 ]
Ma, Xiemin [3 ]
机构
[1] Peking Univ, Med Informat Ctr, Beijing 100871, Peoples R China
[2] Manchester Business Sch, Manchester M15 6PB, Lancs, England
[3] Peking Univ, Sch Publ Hlth, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Medical quality assessment; Quality indicator; Expert judgment; Patient feedback; The evidential reasoning approach; HOSPITAL MORTALITY-RATES; DECISION-SUPPORT-SYSTEM; HEALTH-CARE QUALITY; OF-CARE; SERVICE QUALITY; DIABETES CARE; UNITED-STATES; INFORMATION; PERFORMANCE; INDICATORS;
D O I
10.1016/j.eswa.2015.03.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to increasing demand for healthcare, medical quality has attracted significant attention in recent years. Most studies to date have tried to assess medical quality from objective quality indicators or subjective expert judgments or patient feedback perspective. In this study, the evidential reasoning approach is employed to combine objective quality indicators, subjective expert judgments and patient feedback in a multiple criteria framework to assess the quality of hospitals systematically and comprehensively. The evidential reasoning approach has the advantages of consistently handling both subjective evaluations and objective indicators under uncertainty within the same framework, and it can help to provide a robust alternative ranking. This study contributes to the literature with not only a novel medical quality assessment and aggregation framework, but also a pragmatic data transformation technique which can facilitate the combination of quantitative data and qualitative judgments using the evidential reasoning approach. A case study of three top-ranked teaching hospitals in Beijing is presented to demonstrate the framework and methodology proposed in this study. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5522 / 5530
页数:9
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