Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
Stud Health Technol Inform. 2022 Jun 29;295:20-23. doi: 10.3233/SHTI220649.
Over the past decade, Artificial Intelligence (AI) technologies have quickly become implemented in protecting data, including detecting fraud in healthcare organizations. This scoping review aims to explore AI solutions utilized in fraud detection occurring in treatment settings. To find relevant literature, PubMed and Google Scholar were searched. Out of 183 retrieved studies, 31 met all inclusion criteria. This review found that AI has been used to detect different types of fraud such as identify theft and kickbacks in healthcare. Additionally, this review discusses how AI techniques used in network mapping fraud can detect and visualize the hacker's network. A proper system must be implemented in healthcare settings for successful fraud detection, which may overall improve the healthcare system.
在过去的十年中，人工智能（AI）技术迅速应用于保护数据，包括检测医疗保健组织中的欺诈行为。本范围综述旨在探讨用于检测治疗环境中欺诈行为的 AI 解决方案。为了找到相关文献，在 PubMed 和 Google Scholar 上进行了搜索。在检索到的 183 项研究中，有 31 项符合所有纳入标准。本综述发现，人工智能已被用于检测不同类型的欺诈，如医疗保健中的身份盗窃和回扣。此外，本综述还讨论了网络映射欺诈中使用的 AI 技术如何检测和可视化黑客的网络。必须在医疗保健环境中实施适当的系统以成功检测欺诈，这总体上可以改善医疗保健系统。
