Decision Making System Of New Rural Cooperative Medical Security

With the coverage expansion of new rural cooperative medical system (NRCMS)enlarging and number of participants increasing, the NRCMS is gradually becoming more complicated. To improve the working efficiency of this system, the new rural cooperative business system has been widely used. However,a large amounts of data stored in this system have not be fully analyzed and used. In order to further discover the latent knowledge and valuable information in the medical data, the data mining technology was used to analyze the medical data, and the valuable information in NRCMS data can be found to facilitate the managers to master the situation of NRCMS and develop the objective and practical policy.Currently, many international and domestic academics had studied how to use the data mining technology to solve the problems existing in the field of medical insurance, the typical aspects includes medical cost prediction, medical insurance fraud detection, medical insurance fund management, etc. This work is based on the characteristics and requirements of NRCMS, and mainly combined with the study of data warehouse and data analyzing technology, to research the frame of the decision analyzing of new rural cooperation,constructing data-mining-facing new rural cooperative decision data warehouse, and proposing the ETL processing method concentrated on the characteristics of NRCMS data.On the basis of above researches,the NCMS disease compensation analysis method was proposed to analysis and mine the data in NRCMS hospitalization reimbursement, the association rules between the properties of patients in new rural cooperation,diseases,and costs,carried on the analysis,and providing supports to managers of NCMS for decision making.