With the development of big data and predictive analytics, it is easier today than ever before to detect and prevent healthcare fraud. Gone are the days of lengthy, old-fashioned investigation, and here to stay are new technologies that can identify fraudulent activities automatically and instantly. By parsing through big data and analyzing payment trends, predictive analytics softwares can identify inconsistencies in payment and seemingly fraudulent activity. This article delves deeper into the system that mines data and predicts fraud by explaining the many components that make up a fraud detection software. If you are interested in learning more about how you can use technology to detect healthcare fraud, contact our attorneys today to learn more.
Link analysis focuses on measuring relationships. It mines and analyzes data relating to how individuals, healthcare providers, healthcare employees, and healthcare suppliers are related to and interact with one another. It can identify unusual interactions and even unusual identities, such as multiple or fake addresses and phone numbers.