Pharma's AI Playbook: Patient Identification and Prior Auth at Scale

About this Meeting

AI is rapidly reshaping how patients are identified, evaluated, and approved for therapy — but from a payer perspective, the question is not just what is possible, but what is appropriate, scalable, and defensible. As pharmaceutical companies invest heavily in AI-driven patient identification and access strategies, payers are increasingly being asked to assess, validate, and integrate these approaches within existing coverage and prior authorization frameworks.

This shift introduces new complexity. While AI has the potential to streamline access and reduce administrative burden, it also raises important questions around transparency, bias, clinical appropriateness, and alignment with payer decision-making processes. For payers, the challenge is balancing innovation with oversight — ensuring that AI-driven approaches improve outcomes and efficiency without compromising trust or control.

This roundtable brings together payer, pharma, and digital health leaders to explore how AI is being applied across patient identification and prior authorization — and how these models are being evaluated from the payer side. The discussion will focus on what it takes for AI-enabled approaches to gain payer confidence, integrate into existing workflows, and demonstrate measurable value at scale.

Join us to discuss:

• How are payers evaluating AI-driven patient identification and prior authorization tools in practice?
• What evidence, transparency, and safeguards are required for AI to be trusted within coverage and approval processes?
• How can pharma and digital health companies better align AI strategies with payer expectations to improve access and outcomes?