大数据分析在医院医保管理中的应用研究

Application Research of Big Data Analysis in Hospital Medical Insurance Management

2020已经进入决胜小康关键年,百姓生活水平提高对医疗卫生保障的需求也有所提高.在此背景之下,医保管理水平也应当随之提高.目前,以大数据为代表的互联网计算机技术已经渗透入了各行各业、千家万户,为普通人的生活带来了很多便利.由此可见,将大数据分析应用于医保管理中也是顺应时代发展的便民之举.大数据分析在医保管理领域的应用,主要集中在资源融合、信息共享以及实现跨区域、跨地域合作等方面.这样做不仅能够使之前抽象、复杂的医保工作能够更直观、具体的展示,在此基础上还能够实现便捷、高效的数据分析.本文探究了当前大数据技术在医保管理领域的应用,旨在为医保管理水平的提升提供对策.

2020 has entered the crucial year of a decisive victory, and people’s living standards have improved. The demand for medical and health care has also increased. Under this background, the level of medical insurance management should also be improved accordingly. At present, the Internet computer technology represented by big data has penetrated into all walks of life and thousands of households, bringing a lot of convenience to the lives of ordinary people. It can be seen that applying big data analysis to medical insurance management is also a convenient move for the development of the times. The application of big data analysis in the field of medical insurance management mainly focuses on resource integration, information sharing, and cross-regional and cross-regional cooperation. This will not only enable the more abstract and complex medical insurance work to be displayed more intuitively and concretely, but also enable convenient and efficient data analysis on this basis. This article explores the current application of big data technology in the field of medical insurance management, and aims to provide countermeasures for improving the level of medical insurance management.