IDNs are under increasing strain - from rising demand and workforce shortages to fragmented care and unsustainable costs - driving an urgent need for innovation. Meanwhile, artificial intelligence (AI) is emerging not just as a tool, but as a potential collaborator and trusted teammate across the care continuum and support services. As AI takes on more predictive and administrative functions, it is critical for organizations to ask how the profession and practice of medicine, and the factors impacting delivery, including the supply chain environment, might fundamentally evolve.

Learning Objectives:
1. Define current challenges, identify key systemic pressures, and explain the need for innovation in healthcare.
2. Evaluate the potential of AI in supporting clinicians across diagnostics, treatment planning, logistics, and supply chain management.
3. Analyze the impact of AI on approaches to patient care, and how these tools integrate into day-to-day operations.
4. Outline the evolving role of AI-enabled healthcare - shifting healthcare works toward more strategic, empathetic, and human-centric roles.