Healthcare organizations are investing heavily in AI, yet many are still struggling to translate pilots and point solutions into sustained operational impact. While attention often focuses on the technology itself, adoption frequently depends on something much more practical: how teams are structured, supported, and prepared to integrate AI into everyday clinical environments.
Across health systems, leaders are increasingly recognizing that successful AI implementation requires more than technical capability. Questions around workforce readiness, clinical leadership, governance, training, and workflow integration are shaping whether AI becomes embedded into care delivery or remains isolated within innovation teams. At the same time, organizations are navigating how to introduce new tools without adding friction, burnout, or complexity for frontline staff.
This masterclass brings together leaders across healthcare, digital health, and clinical operations to explore what it takes to build the workforce foundations that support successful AI adoption. The discussion will focus on how organizations are redesigning workflows, engaging clinicians, and creating operating models that allow AI to scale effectively across care settings.
Join us to discuss:
What workforce and organizational factors most influence successful AI adoption in healthcare?
How are health systems preparing clinicians and operational teams to integrate AI into daily practice?
What governance, leadership, and workflow approaches are helping organizations scale AI effectively across the enterprise?