A Review of Research on Medical Insurance Fraud

China Health Insurance ›› 2023, Vol. 0 ›› Issue (8) : 5-12.

China Health Insurance ›› 2023, Vol. 0 ›› Issue (8) : 5-12. DOI: 10.19546/j.issn.1674-3830.2023.8.001
Observation & Discussion

A Review of Research on Medical Insurance Fraud

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Abstract

Medical insurance fraud has not only brought huge economic losses to the country, but also affected the quality of public medical services, which has increasingly become a shackle restricting the healthy development of the social medical insurance system. Based on the databases of China National Knowledge Infrastructure and Web of Science Core Collection to search for medical insurance fraud literature, this article uses Excel, Endnote, and VOSviewer software to conduct quantitative analysis of the literature. It is found that domestic and foreign scholars have conducted extensive research on medical insurance fraud, presenting complex and diverse subjects, means, and influencing factors of fraud, as well as comprehensive and extensive governance measures. The concept of medical insurance fraud in China needs to be further clarified, and as to the influencing factors, we should focus on fundamental factors and quantitative analysis. In terms of governance measures, it is necessary to compensate for the shortcomings of the current system and technology, and encourage more social individuals to actively participate in medical insurance anti-fraud.

Key words

medical insurance / fraud / medical insurance fraud / research review

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A Review of Research on Medical Insurance Fraud[J]. China Health Insurance. 2023, 0(8): 5-12 https://doi.org/10.19546/j.issn.1674-3830.2023.8.001

References

[1] 徐尧生.加大基金监管力度确保医保利民惠民[J].中国人力资源社会保障.2012(3):36-37.
[2] 尹蕾.掌控风险点选准发力点——医疗保险反欺诈机制研讨会观点综述[J].中国医疗保险.2012(11):39-40.
[3] BUTTON M, GEE J.The Financial Cost of Healthcare Fraud[J].University of Portsmouth, 2015:1-20.
[4] US DEPARTMENT OF JUSTICE.Department of Justice Health Care Fraud Report[Z].1996.
[5] 夏恩君,王素娟,王俊鹏.基于知识图谱的众筹研究现状及发展趋势分析[J].科研管理,2017,38(6):1-8.
[6] 宋华,杨雨东,陶铮.区块链在企业融资中的应用:文献综述与知识框架[J].南开管理评论,2022,25(2):34-48.
[7] 王佳桐,章曼娜,朱甜甜.国际志愿服务研究现状、热点及趋势——基于Web of Science核心文集的VOSviewer分析[J].青少年研究与实践,2020,35(3):5-14+53.
[8] 石燕,何黎,任秋静,等.中医体质知识图谱分析——基于VOSviewer和CiteSpace的计量分析[J].世界科学技术-中医药现代化,2021,23(9):3415-3423.
[9] 詹长春,黄晶晶.协同治理视角下医保欺诈行为监管体系优化研究[J].中国卫生事业管理,2021,38(9):668-671.
[10] 王丹丹,詹长春.医保欺诈行为举报中公众参与窘境及成因探究——基于江苏的实践调研[J].中国卫生事业管理,2022,39(12):912-916.
[11] 姚强,杨菲,郭冰清.基本医疗保险“欺诈骗保”现象的影响因素及路径研究——基于我国31个省级案例的清晰集定性比较分析[J].中国卫生政策研究,2020,13(11):24-31.
[12] 李杰,兰巧玲,马士豪.基于大数据的基本医疗保险参保人欺诈风险评估[J].中国卫生政策研究,2018,11(10):43-50.
[13] Centers for Medicare & Medicaid Services.Medicare Fraud & Abuse: Prevent, Detect, Report[EB/OL].(2023-3-30)[2023-06-02].https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/Downloads/Fraud-Abuse-MLN4649244.pdf.
[14] LI J, HUANG K Y, JIN J, et al.A survey on statistical methods for health care fraud detection[J].Health Care Management Science,2008,11(3):275-287.
[15] 许闲,周源,余安琪.美国医疗保险改革的经验与启示[J].复旦学报(社会科学版),2022,64(1):156-164.
[16] 国家医疗保障局.国家医疗保障局2021年度医保基金飞行检查情况公告[EB/OL].(2022-05-19)[2023-06-02].http://www.nhsa.gov.cn/art/2022/5/19/art_109_8208.html.
[17] VILLEGAS-ORTEGA J, BELLIDO-BOZA L, MAURICIO D.Fourteen years of manifestations and factors of health insurance fraud,2006-2020: a scoping review[J].Health & Justice,2021,9(1):1-23.
[18] 王军.医疗费用医保结算诈骗原因分析与预防[J].中国卫生法制,2019,27(5):90-92.
[19] MEIER B D, HOMANN D.The Prosecution of Fraud in the System of Public Health Insurance[J].Monatsschrift Fur Kriminologie Und Strafrechtsreform,2009,92(4):359-375.
[20] 杨雪静.城乡居民基本医疗保险欺诈风险度量的实证研究[D].山东:青岛大学,2020:38.
[21] DUBE J F.Fraud in Health care and organized crime[J].Medicine and Health,Rhode Island,2011,94(9):268-269.
[22] 闫学趁.医疗保险基金监管现状和完善对策研究[D].天津:天津大学,2012:30.
[23] DOAN R.The false claims act and the eroding scienter in healthcare fraud litigation[J].Annals of health law,2011,20(1):49-76.
[24] 崔琳珠.我国医疗保险制度法律规制研究[D].延边:延边大学,2018:22.
[25] 赵德余.医疗保障监管的政策网络分析:从微观行为到系统结构[J].学海,2021(2):76-83.
[26] 秦波涛.浅谈医保基金监管中协议管理模式的优化[J].中国管理信息化,2020,23(10):211-212.
[27] THORNTON D, BRINKHUIS M, AMRIT C, et al.Categorizing and describing the types of fraud in healthcare[J].Procedia Computer Science, 2015(64):713-720.
[28] 陈清凤,朱宁,朱亩鑫.大数据下医保欺诈的有效识别模型[J].汕头大学学报(自然科学版),2018,33(1):40-48.
[29] 周晓惠,王小燕.智能审核在我院医保管理中的应用和思考[J].智库时代,2019(29):247+249.
[30] 徐莹波,吴志伟.DRG付费下打造医保基金安全生态圈的思考[J].卫生经济研究,2021,38(12):54-56.
[31] 朱敏,李红艳,魏倩如.医疗保险基金智能监管模式建构和运作研究[J].卫生经济研究,2021,38(6):40-43.
[32] 龚芳,王长青.基于公众视角的公立医院外部监管困境与对策探析[J].中国医院管理,2014,34(2):8-9.
[33] 陈仕学,王小合,金涛.杭州市公立医院综合改革中的监管实践与启示[J].中国医院管理,2020,40(5):11-15+29.

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