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How to detect healthcare fraud? “A systematic review”

机译:如何检测医疗保健欺诈? “系统评论”

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ObjectiveTo identify the method used in detecting fraud cases.MethodsArticles searching by using topic-appropriate keywords and incorporated into search engines (data-based) journals Pubmed/Medline, Cochrane, Wiley, ScienceDirect, and secondary data-based Google scholar. Then data extraction is done based on inclusion criteria. The selected articles have the aim of investigating/detecting cases of fraud that have occurred in the health sector or other related sectors that support the study.ResultsThe findings of the nine reviewed articles have suggested that most of the fraud perpetrators are performed by medical personnel (doctors) and providers. Many types of fraud occur such as insurance claims or medical actions that are completely unadministered nor following the procedure and duplicating claims. The methods that appropriate to be used in detecting fraud are secondary data tracking, information, and technology specialist provision.ConclusionSecondary data tracking is the most widely used method in fraud detection. Fraud perpetrators are ones who dominated by medical circles with fictitious claim cases. Perpetrators tend not to act themselves but in organizations with network.
机译:ObjectiveTo标识用于检测欺诈案件的方法。通过使用主题适当的关键字并将其纳入搜索引擎(基于数据)的期刊PubMed / Medline,Cochrane,Wiley,ScieCentirect以及次要数据的Google Scholar的方法搜索。然后基于包含标准完成数据提取。所选文章的目的是调查/检测卫生部门或其他相关部门所发生的欺诈案件,这些部门支持研究。九条审查条款的调查结果表明,大多数欺诈犯罪者由医务人员进行(医生和提供者。许多类型的欺诈行为,例如保险索赔或医疗行动,这些行为完全没有示例,也不遵循程序和复制索赔。适用于检测欺诈的方法是辅助数据跟踪,信息和技术专业提供.ConclusionsEcondary数据跟踪是欺诈检测中最广泛使用的方法。欺诈犯罪者是由医疗界统治的人,其中包括虚构的声明案件。肇事者往往不会自行行动,而是在与网络的组织中。

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