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

This webinar is on-demand and can be viewed at your convenience.

  • Presenter

    Kay Burke

    VP, Chief Nursing Informatics Officer

    UCSF Health

  • Presenter

    Nagesh Badarla

    Healthcare Managing Director, Digital and AI

    Huron

  • Presenter

    Alene Cuellar

    Healthcare Managing Director, Digital

    Huron

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% to 50% of AI initiatives. Organizations are investing, but not everyone is realizing value.

Through a candid, conversation-style discussion — including UCSF Health’s chief nursing informatics officer — panelists will examine how leaders define and measure value.

You’ll learn:

  • Why AI efforts stall or fail to deliver value
  • How the AI conversation is shifting from “Does it work?” to “What deserves to scale?” — and what a disciplined portfolio approach looks like
  • How leading organizations are making smarter AI investment decisions and proving value across competing initiatives
  • How to move from AI adoption to measurable transformation to achieve performance goals and build lasting enterprise capability