Healthcare Fraud Analytics

A comprehensive introduction to the basic components of healthcare data, and how the analytics of big data can identify potential fraud, waste, and abuse in the public and private payer systems. The software tools, analytics, and data mining techniques will be reviewed as well as the newest fraud detection methods based on predictive modeling. Proactive algorithms used to identify real time large investigations will be reviewed with case studies examined. This course begins on 5/8/24 and ends on 6/29/24.