Primary care is entering a pivotal moment of evolution. Persistent workforce shortages, rising costs, and uneven access, felt most acutely in rural and underserved communities continue to be significant challenges driving the need to make a change. According to the Healthcare Spending Survey, 42% of Americans have skipped needed medications due to cost, and 58% could not afford an ambulance if needed—compounding staffing shortages in underserved areas and accelerating the need for new care delivery models.
At the same time, policymakers are advancing funding models and regulatory shifts designed to strengthen and modernize primary care. For health systems, this convergence creates a rare opportunity to address long-standing challenges while building more resilient, scalable models for the future.
This webinar explores how people, policy, and emerging technologies, specifically AI, are converging to reshape the future of primary care. Automating administrative tasks with AI has already shown to reduce clinician cognitive load and free up time for patient care. Imagine how primary care might transform further with agentic AI as an extension of the care team.
Join the discussion and:
- Gain insight into the latest primary care workforce and cost trends, and discuss why adding headcount won’t solve all the challenges
- Understand how recent and proposed policy initiatives, including expanded ACA funding, rural health transformation programs, and national AI-focused deregulation efforts are shaping the care landscape
- Distinguish critical differences between generative and agentic AI, as we explain why that difference matters for operational scalability
- Learn about practical use cases that reduce administrative burden, support clinicians, and extend care capacity
.jpg?width=120&height=120&name=Dr.%20David%20Carmouche%20(3).jpg)
