Effectively utilizing AI/ML methodologies to forecast instances of fraud, waste, and abuse (FWA) within the CMS’ Affordable Care Act (ACA) Exchange Program.
- Creating pioneering AI/ML strategies to detect irregular patterns in ACA enrollments.
- Utilizing sophisticated data science and data mining approaches, leveraging AI/ML, to uncover concealed correlations among enrollees, brokers, and providers.