Lessons learned: Driving clinical AI adoption in healthcare

New research shows that while many healthcare organizations are seeing early value for AI, only 7% have reached enterprise-wide AI deployment. Leaders cite their top barriers to scaling AI were clinician adoption, change management, and compliance. Workflow disruption, governance, and the need to prove ROI quickly are also shaping their decisions. In this webinar, healthcare leaders share how they moved beyond pilots by rethinking where AI lives, how it fits into clinical workflows, and how they build confidence to expand adoption across their organization. The shift from standalone tool to everyday clinical experience can unlock AI impact. Highlights include:The trust-building foundational decisions that shape a successful approach to AI adoption.The training, change management, and security choices that made rollout stick.The measurable outcomes, including clinician wellness, that proved value early and continue to help them scale.

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