Behavioral health readmissions and poor medication adherence remain costly challenges, both financially and clinically, for healthcare systems striving to improve outcomes. In this session, we’ll explore how AI-driven insights can bridge care gaps, identify at-risk patients earlier, and enable timely, coordinated interventions that lead to measurable improvement. Through real-life case studies, we’ll illustrate how integrating diverse data sources ranging from clinical notes to social determinants can reveal patterns that traditional methods often overlook. These insights make it possible to target resources more effectively, reduce avoidable readmissions, and improve adherence rates in ways that benefit both patients and organizations.  

Whether you’re a payer, provider, or innovator navigating the dual pressures of quality measurement and cost containment, this session will deliver practical strategies for using AI to support smarter decisions, better care, and long-term value. Join us to see how intelligently activated data can translate into dollars, healthier outcomes, and operational wins.