Beyond the Hype: What Healthcare Really Needs from AI

AI is transforming healthcare—but not every solution lives up to its promise. In this conversation, healthcare leaders who have evaluated, implemented, and scaled AI tools share what truly drives measurable results. Drawing from real-world experience, they reveal how to cut through the hype to identify technology that improves efficiency, reduces friction, and meaningfully supports clinical teams.

Panelists shared lessons from evaluating, scaling, and implementing AI tools in real clinical environments—what worked, what didn’t, and what they’d do differently. The discussion underscored the importance of evidence-based evaluation, building trust in AI governance, and ensuring technology aligns with measurable outcomes.

Rather than framing AI as a replacement for medical professionals, the panel explored how AI can strengthen human expertise—reducing administrative burden, improving provider experience, and empowering teams to focus more on patient care. The conversation wrapped with actionable guidance for healthcare leaders looking to build scalable, results-driven frameworks that turn AI’s potential into lasting impact.

Objectives:

• Help healthcare leaders separate AI hype from real clinical value.
• Provide a framework for evaluating AI vendors and solutions.
• Show what successful AI implementation and adoption require.
• Define how organizations should measure AI impact and determine whether to scale.

Speakers:

• Ainsley MacLean, MD, FACR, CEO and Founding Partner, Ainsley Advisory Group
• Tom Hasley, CIO, LucidHealh
• Matthew Zawalich, VP in IT Services, Yale New Haven Health
• Demetri Giannikopoulos, former Chief Innovation Officer, Rad AI (moderator)