Successfully engaging Medicare and Medicaid members is critical to optimizing risk adjustment, improving quality ratings, and driving better access and affordability for members. Yet precisely identifying and relevantly activating members—and ultimately driving behavioral change that improves health—can be difficult, particularly when members of a population can vary significantly by age, ability, and need.  

In this webinar, experts explore how rapid advances in behavioral science and artificial intelligence (AI) offer an array of new opportunities to drive member engagement. By harnessing data and AI to develop detailed knowledge about your members’ needs, motivations, attitudes, barriers, and enablers, you can break down traditional identification and activation barriers to achieve improved outcomes and, as a result, lower costs.

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