Research on the Effective Mining Method of Big Data for Health Service Management in Hospitals

摘要

With the continuous progress of science and technology, todays society has entered the era of big data. Big data technology has been widely used in various industries and fields, and has become an important force to promote social and economic development and progress. In the medical field, big data has also become one of the important factors to improve the quality of hospital health service management. The use of big data can effectively strengthen intelligent health service management recommendations, optimize and integrate multi-source heterogeneous information, and build a structural system of data, information and knowledge management, so as to target the number of cases, incubation period, mortality and impact on economic life. Scientific and reasonable analysis and management of data and information in many aspects, the use of big data and intelligent information processing technology, and the integration of intelligent management concepts, to effectively build a disease early warning model, and add Taiwan to the development and construction of a big data platform for hospital health service management. At the same time, it is necessary to improve the real-time early warning service support system, promote the further improvement of my countrys medical information construction level, and provide support and assistance for integrating medical resources, optimizing the allocation of medical resources, and improving the efficiency of medical resource utilization. This paper conducts in-depth research on the effective mining method of big data for health service management in hospitals, and puts forward scientific and reasonable suggestions based on the actual situation, so as to provide more reliable suggestions for hospitals to strengthen the construction of health service management.