Medical insurance supervision is a priority in the management of medical insurance. In the era of big data, the full application of medical insurance data is the strong support of medical insurance supervision modernization and an indispensable technical means for medical insurance agency management. As a national intelligent monitoring demonstration city, Shanghai actively explores the establishment of a medical insurance security management information platform, applies new technologies for big data mining to establish data models, promotes the improvement of data quality and refined management, and effectively supervises medical insurance funds. This article explores the construction and development of intelligent medical insurance supervision in Shanghai, introduce the application of data mining technology in supervision with case analysis, and share achievements and benefits for other cities.
Key words
new technologies for data mining /
medical insurance big data /
intelligent supervision
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] CIOS K J, PEDRYCZ W, SWINIARSKI R W.Data mining methods for knowledge discovery[M].Springer science & business media, 2012.
[2] 窦一峰.数据挖掘技术在医保欺诈检测识别中的应用研究[D].重庆:西南大学,2018.
[3] 李建梅.上海市医保监管体系建设路径和成效分析[J].中国医疗保险,2019,126(03):24-27.
[4] 吕大伟,许宏,梁鸿,等.上海市基本医疗保险监督管理办法实施效果评估研究[J].中国医疗保险,2018,121(10):37-40.
[5] 张雨晴,刘静,李军,等.论医保监管从机构延伸到医师的合理合法性[J].中国医院,2021,25(10):73-75.
[6] 陈仰东.建立完善医保医师制度[J].中国社会保障,2016,269(12):37.
[7] 傅亦安,贾洸怡.利用数据挖掘算法建立医保医师画像模型的探究[J].中国医疗保险,2022(05):64-70.
[8] 段秀秀.医保智能监控系统知识库、规则库建设的分析研究[J].中国医疗保险,2022(09):88-93.
[9] 潘毅,杨郁青,夏云.上海市三级综合医院试点“互联网+”医疗服务纳入医保支付的效果分析[J].现代医院,2023,23(01):18-20.
[10] 杨红燕.数字化时代的数字医保:内涵、价值、挑战与治理思路[J].华中科技大学学报(社会科学版),2021,35(02):17-24.