Efficiency vs. Transformation: The Next Phase of Clinical AI

After a year of unprecedented AI deployment across hospitals and health systems, leaders are beginning to separate automation that merely streamlines operations from the innovations that fundamentally redefine care. The next phase of adoption is about discernment — identifying which AI investments deliver short-term efficiency gains and which create the foundation for lasting transformation in care delivery, workforce models, and patient experience.

This discussion examines how organizations are balancing ROI with redesign, governance with agility, and experimentation with scale. Participants will explore what it means to embed AI into clinical and operational workflows safely and sustainably, while defining the metrics that matter most for impact, trust, and maturity.

Join us to discuss:

• How are hospitals and innovators differentiating between incremental automation and transformative AI?

• What governance, workforce, and design principles enable safe, scalable AI transformation?

• Which outcomes and operational metrics matter most in evaluating clinical AI maturity?