Scaling, Stopping, and Measuring AI Value — Why Your Approach Matters More Than Your Next Pilot


Tuesday, July 21st, 2026 | 1:00 PM - 2:00 PM CT 

The next phase of healthcare AI won't be won by adding more pilots. It will be won by the systems that figure out what deserves to scale, what should stop and how to measure both.

Huron's 2026 Executive Provider Research found 53% of leaders report measurable ROI on just 25–50% of AI initiatives. Organizations are investing, but not everyone is realizing value.

Through a candid, conversation-style discussion, panelists will examine how leaders define and measure value.

You'll learn:
 
  • Identify why AI efforts stall or fail to deliver value.
  • Understand how the AI conversation is shifting from "Does it work?" to "What deserves to scale?" — and what a disciplined portfolio approach looks like.
  • Explore how leading organizations are making smarter AI investment decisions and proving value across competing initiatives.
  • Learn how to move from AI adoption to measurable transformation to achieve performance goals and build lasting enterprise capability. 


Presenters: 

Kay Burke-281-compressed (1)

Kay Burke

VP, Chief Nursing Informatics Officer, UCSF Health

Nagesh Badarla

Nagesh Badarla

Healthcare Managing Director, Digital and AI, Huron

Moderator:

Alene Cuellar (1)

Alene Cuellar

Healthcare Managing Director, Digital, Huron