Study of Indicator System of Public Hospital Regulation based on BP Neural Network / 中国卫生经济

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.