Construction and Application of an Intelligent Health Insurance Development Level Evaluation System Based on the Delphi-Entropy Method
- VernacularTitle:基于德尔菲-熵权法的智慧医保发展水平评估体系构建研究
- Author:
Yuxin YE
1
;
Wenxi TANG
;
Shuailong LI
;
Qian XING
;
Mingyang LI
;
Renchang DIAO
;
Aixia MA
Author Information
1. 中国药科大学国际医药商学院 江苏南京 211198
- Keywords:
Delphi method;
entropy method;
intelligent health insurance;
health insurance informatization;
in-dex system
- From:
Chinese Hospital Management
2024;44(2):1-5
- CountryChina
- Language:Chinese
-
Abstract:
Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.
