Patient support programs are under increasing pressure to deliver faster access, more personalized engagement and better outcomes all while managing growing therapy complexity and operational strain. As enrollment volumes rise and payer requirements evolve, traditional manual processes are becoming unsustainable, leading organizations to explore AI as a way to scale support more efficiently.

However, efficiency alone is no longer enough. Patients and caregivers expect high-touch, human-centered experiences even when technology is involved. This has created a critical inflection point for hub services: how can AI be used to streamline workflows and surface insights without depersonalizing the patient journey? This session explores how leading organizations are using AI to enhance, not replace, human interactions, giving attendees practical insight into where AI delivers the most value across patient engagement, access milestones and ongoing support.

What you’ll learn:

Speakers will walk through real-world examples of AI being used in patient support programs to:

• Improve speed and accuracy in processes like benefit verification and prior authorization
• Personalize patient communications while maintaining empathy and clarity
• Reduce administrative burden on care teams so they can focus on high-value patient interactions
• Use AI insights to identify patient risk signals earlier and intervene proactively
• Establish clear KPIs and outcome metrics to evaluate AI success beyond cost savings

Why this matters:

This session moves beyond hype to show how AI can be a force multiplier for patient engagement. You’ll gain practical frameworks for determining where AI adds real value and where human involvement remains essential, helping you design smarter, more resilient support programs.