Data Mining Of Medical Insurance Expenses Under The Background Of Big Data

With the development of Internet technology, big data analysis has gradually penetrated into all the industries, including the medical industry. In the process of medical digital, large amounts of data, such as EMR, HIS, LIS, has been produced. The Intel predicts that medical data will increase to 35 ZB by 2020, 44 times the amount of data in 2009. The medical industry confronts with many challenges and opportunities caused by the huge amounts of unstructured data. Big data plays very significant role in changing the public health field. This paper reviews the related literatures at home and abroad and does some deeply theoretical analysis. Based on a large number of medical data available, this paper mainly research on health insurance expenses. The mainly contents are as follows:1. The characteristics of four diseases and the medical expenses have been analyzed. This paper sums up the basic characteristics of the four diseases after data mining analysis on medical record home page, then obtains DRGs standard of medical insurance reimbursement of the four diseases. First of all, this paper gets basic characteristics of the diseases with the aid of statistical methods. Further, this paper uses the decision tree analysis method to mine the hospitalization medical expenses in order to get the DRGs standard of medical insurance reimbursement. The conclusions obtained can provide data support for the medical insurance institutions to make policies. The result has great application value.2. This paper also studies the expenses of the critical diseases. It is found that the total health expenses in our country, health care spending and medical expenses per person as well as the basic medical insurance fund expenditure presents the tendency of fast growth. Based on the data mining analysis, this paper gets the distribution of the hospitalization medical expenses and the out-of-pocket expenses. In the last, this paper calculates the insurance premium. The research is of great significance. It has a certain contribution to enrich and perfect the medical insurance market in China.The increasing health big data is a major resource advantage of the health care industry. Medical insurance institution must pay attention to collecting the medical data produced in the process of medical digital. Medical institutions should focus on grasping the advantages to make medical statistical description of big data, data mining, model prediction, in order to provide relevant decision support based on huge amounts of data analysis.