Track 1: Modernizing the Medicaid Enterprise:

This track focuses on navigating the future of Medicaid through  advancing interoperability and data exchange, optimizing procurement and implementation, streamlining modular certification, and building resilient and adaptable systems.

Track 2: Operational Excellence and Compliance:

This track emphasizes enhancing operational efficiency, addressing health-related social needs, meeting evolving regulatory requirements, and improving the member experience.

Track 3: Data-Driven Decision Making and Analytics:

This track explores utilizing data analytics for better outcomes by applying advanced analytics and predictive modeling, leveraging real-time data and insights, ensuring proper data governance, privacy and security, and facilitating data sharing and interoperability.

Track 4: Integrated Eligibility and Enrollment (IE&E):

This track centers on streamlining IE&E processes, enhancing the member experience, leveraging data analytics for IE&E, addressing complex eligibility issues, and integrating IE&E with other Medicaid systems.

Track 5: Program Integrity, Fraud, Waste, and Abuse:

This track delves into advanced fraud detection and prevention, enhancing data analytics for program integrity, strengthening provider enrollment and monitoring, improving coordination of benefits and third-party liability processes, and enhancing overpayment recovery.

Track 6: Artificial Intelligence (AI) and the Future of Medicaid: A Vision for 2030 and Beyond:

This track examines future trends and challenges in Medicaid, explores AI governance structures, discusses current and future uses of AI in managing Medicaid programs, and analyzes how AI will transform data analytics, claims processing, eligibility determinations, document verification, and program integrity/cost avoidance.