The Last Mile Problem in Healthcare: How AI Can Improve Patient Access and Adherence

About this session

Organizations have invested heavily in new therapies, digital tools, and care models, yet many patients still fail to start treatment, remain engaged, or complete recommended care journeys. This session explores how AI can leverage behavioral signals across healthcare interactions to identify patients at risk of disengagement and deliver personalized interventions that improve access, adherence, and outcomes. Attendees will learn how leading organizations are moving beyond prediction models to AI-powered engagement strategies that connect the right patient with the right support at the right time. The session will also examine the ethical and governance considerations of behavioral AI, ensuring interventions remain transparent, equitable, and patient-centered.

Speaker

Key takeaways

  • Learn how behavioral signals can be used to identify patients at risk of disengagement, non-adherence, or delayed access to care
  • Understand how AI-powered nudges and personalized interventions can improve patient engagement and treatment initiation
  • Explore the governance and ethical considerations needed to deploy behavioral AI responsibly in healthcare

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