Description: The presenters will provide insights into fraud and abuse risk in the health insurance industry, including an examination of traditional and predictive modeling techniques for both prevention and detection. Emphasis will be placed on current and emerging risks. Canadian examples and perspectives will be offered, but the applications for attendees to use in practice are non-nation specific.

Description: The presenters will cover the variation in risk adjustment approaches used across state Medicaid programs and compare them to other Federal programs. Additionally, recent developments, such as the use of OCR to extract data from medical charts for risk adjustment, will be discussed.