Predicting Behaviour and Driving Outcomes: How Pharma Can Adapt Indicator-Driven Adherence Models

Watch as industry and research leaders explore how pharma can shift from lagging, retrospective adherence measures to leading indicators that predict behaviour before patients fall off track.

This session highlights how pharma can move beyond retrospective adherence measures and start using predictive insights to better support patients. By combining the COM-B behavioral model with AI-driven tools, the discussion explores new ways to identify barriers such as motivation, confidence, and social support — and how these insights can be applied to create more personalized, patient-first strategies. 

Interested in learning more about how leading and lagging indicators can help predict adherence?