开发平台的自动推系统,用于基于智能合同的医疗保险欺诈检测解决方案:分类学和绩效评估
Rima Kaafarani1, Leila Ismail2, Oussama Zahwe3
1Intelligent Computing and Communication Systems Laboratory, Computer Science Department, American University of Culture and Education, Beirut, Lebanon.
Journal of medical Internet research
|October 18, 2024
概括
本研究介绍了一个基于区块链的系统,使用智能合约来有效地检测医疗保险欺诈行为. 超级账本结构 (Hyperledger Fabric) 成为最佳平台,在检测保险欺诈的绩效指标上表现优于其他平台.
科学领域:
- 区块链技术 区块链技术
- 医疗信息学 医疗信息学
- 网络安全 网络安全
背景情况:
- 越来越多的医疗保险欺诈需要自动检测方法.
- 目前的手动审计不足以增加患者数量.
- 区块链为安全的医疗保健解决方案提供不变性,透明度和智能合约.
研究的目的:
- 开发智能合约,以有效地检测医疗保险欺诈行为.
- 为选择最佳区块链平台创建决策地图推系统.
- 建立用于医疗保健应用的区块链平台的分类法.
主要方法:
- 开发了12个已识别的欺诈场景的智能合约.
- 根据应用领域创建了102个区块链平台的分类法.
- 利用决策地图推系统来选择顶级区块链平台.
主要成果:
- 超级账本织物被确定为医疗保险欺诈检测的最佳区块链平台.
- 推者系统成功地选择了Hyperledger Fabric和Neo.
- 一个分类学分类了102个平台,根据它们对各种应用领域的适用性进行分类.
结论:
- 决策地图推系统有效地识别了Hyperledger Fabric和Neo用于欺诈检测.
- 在欺诈检测指标上,Hyperledger Fabric表现出了比Neo更好的表现.
- 实施了一种基于智能合约的新型系统,用于检测医疗保险欺诈行为.
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