Research Progress of Big Data Application in Medical Insurance Field

doi:10.19546/j.issn.1674-3830.2023.8.005

China Health Insurance ›› 2023, Vol. 0 ›› Issue (8) : 36-39. DOI: 10.19546/j.issn.1674-3830.2023.8.005

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Abstract

Effective mining and efficient use of big data in the health insurance field are conducive to promoting the high-quality development of health insurance. This study summarizes the main functions and methods of big data mining technology that can be applied to the medical insurance field, typical cases and promotion trends of big data mining technology applied in the medical insurance field, problems and challenges faced by big data application in the medical insurance field, and the value of data mining applied in the medical insurance field, in order to tap the innovative value of big data in the medical insurance field, which is useful for improving the level of medical insurance public services and it is a reference for the improvement of health insurance public services and the construction of intelligent system.

Key words

medical insurance / big data / progress in application

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Research Progress of Big Data Application in Medical Insurance Field[J]. China Health Insurance. 2023, 0(8): 36-39 https://doi.org/10.19546/j.issn.1674-3830.2023.8.005

References

[1] 黄越,彭思翔,罗源,等.医保数据中台建设的实践与思考[J].中国医疗保险,2022,(03):41-46.
[2] 周栋良,原钰佳.医保数据治理实践[J].网络安全技术与应用,2021(04):66-67.
[3] 邱旭.医院医保信息化管理的现状分析及对策研究[J].科技创新导报,2020,17(05):167-168.
[4] 邱虎,王群.采用数据挖掘技术的关联规则分析口服降糖药物的临床应用[J].中南药学,2021,19(02):323-325.
[5] 赵娜,陈晓红,孙辉,等.三级综合医院院感评价数据关联规则分析及启示[J].中国卫生质量管理,2022,29(02):26-29.
[6] 朱碧云,王妮,黄艳群,等.高血压患者合并重大慢性病关联规则分析[J].医学信息学杂志,2019,40(11):66-70.
[7] 顾东虎.Hadoop云平台下基于P-WAP的大数据聚类挖掘算法[J].长春师范大学学报,2020,39(10):29-35.
[8] 陈舜让,董健卫,陈艳美.基于聚类分析的药品流通大数据监管模型研究[J].广东药科大学学报,2022,38(04):19-22.
[9] 尹廷钧,李灵慧,等.大数据挖掘中的数据分类算法综述[J].数字技术与应用,2021,39(01):102-104.
[10] 蔡诗凝,张玉侠,陈潇.基于大数据构建危重症患者病情变化预测模型的研究进展[J].中华护理杂志,2018,53(11):1382-1385.
[11] NHS.Fair Shares a guide to NHS allocations[EB/OL].(2021-02-26)[2023-8-15].https://www.england.nhs.uk/allocations/.
[12] 冷家骅,陈治水.医院医保大数据建设的问题与展望——以某三甲医院为例[J].中国医疗保险,2018,(06):59-62.
[13] 翟绍果,陈兴怡.大数据在医疗服务与医保治理中的应用——基于数据技术、网络形态和政策支持的向度[J].江汉学术,2018,37(03):5-10.
[14] 彭菲.大数据时代的隐私安全问题与保护措施[J].智能城市,2016,2(09):51.
[15] 杨继武.网络大数据安全问题及其解决对策[J].电脑知识与技术,2019,15(07):29-30.
[16] 龚忆莼.医疗保险医院管理的“三驾马车”[J].中国社会保障,2013(07):81.
[17] 赵莉娜,刘宝琴,张宗久.医保视域下不合理医疗服务行为界定、产生原因与对策[J].中国医院,2022,26(07):26-28.
[18] 马楠.医改新政下加强医保资金管理的措施探讨[J].经济师,2021,(07):248-249.
[19] 陈嵩,胡志坚.基于大数据的医保用药及诊疗行为合理性分析与费用控制[J].海峡药学,2021,33(12):234-236.