Scientific and effective policy evaluation methods help to accurately measure the effects of basic medical insurance policies and improve the efficiency of policy implementation.This paper summarizes and compares the frequently-used evaluation methods for basic medical insurance,and combines DID,RD and machine learning methods to construct a variety of DRG/DIP payment method reform policy evaluation models to improve the accuracy of policy evaluation results and assist in the reform of medical insurance payment methods in China.
NETL
NSTL
万方数据
