Study of Indicator System of Public Hospital Regulation based on BP Neural Network
10.7664/CHE20140219
- VernacularTitle:基于BP神经网络的公立医院运行监管指标体系
- Author:
Jinliang XIE
;
Liai ZOU
;
Pengqian FANG
- Publication Type:Journal Article
- Keywords:
public hospital;
artificial neural network;
indicator;
supervision
- From:
Chinese Health Economics
2014;(2):60-62
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To construct the supervision index system operated in public hospitals based on artificial neural network, provide references for implementing the supervision of public hospital operation. Methods: To integrate qualitative analysis and quantitative analysis, integrate site investigation and mathematical model. Through literature analysis and decide index by expert consultation, collect index data of 118 hospitals, construct the neural network model and calculate the index weight. Results: 7 indexes, such as proportion of medicine income in business income, debt ratio, doctors and nurses ratio and the weights of these indexes are concerned. There is no significant difference between the measure value and actual value by using this index system. Conclusion: The index system given by this analysis has higher reliability and validity.
