Leveraging big data characteristics for enhanced healthcare fraud detection

Leveraging big data characteristics for enhanced healthcare fraud detection

연구 분야: Databases

학회: Cluster Computing

This review explores the transformative potential of Big Data analytics in revolutionizing healthcare fraud detection. By examining the 5Vs (Volume, Variety, Velocity, Veracity, and Value), we illustrate how these dimensions can significantly enhance the accuracy and efficiency of fraud detection systems. This review not only analyzes how the 5Vs can be leveraged to improve fraud detection systems but also identifies existing research gaps and proposes future research directions. Furthermore, we address the integration of Artificial Intelligence (AI) and Big Data applications in healthcare fraud detection, highlighting their role in enhancing operational efficiencies and improving the overall quality of healthcare services. This paper aims to provide valuable insights into modernizing healthcare systems through Big Data technology, ultimately contributing to more efficient, reliable, and trustworthy healthcare services.