(R5) Using Medication Intelligence to Improve Behavioral Health Outcomes

Come learn about a real-world example of a partnership that leveraged artificial intelligence to guide timely, data-driven interventions and optimize medication management through an academic detailing program utilizing a medication intelligence platform to provide actionable recommendations and education for prescribers. Predictive models used social, clinical, and claims data to identify members who are most impactable and are at higher risk of complications, nonadherence, suicide, and substance misuse. Actionable analytics predicted high-risk and medication-related problems before they happen, targeting high-risk patients with high-impact interventions that pinpoint specific actions to optimize medication management.

Join our faculty as they discuss the program’s successes and lessons learned, including reductions in polypharmacy, increases in medication adherence, and savings in behavioral health spend.

This session will cover common medication-related problems in the management of behavioral health and the use of predictive analytics to target high-risk members and generate personalized recommendations to facilitate effective, scalable care that reduces cost and improves health outcomes.