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Blog
Andy Pollen

From Oversight to Advantage: Rethinking AI Governance in Healthcare

Adoption, Data Management
Table of Contents

How can you govern AI responsibly without slowing innovation? 

For Brenton W. Hill, JD, MHA, Head of Operations and General Counsel at the Coalition for Health AI (CHAI), the answer begins with abandoning a uniform approach.

“Your governance has to be as practical as possible and as risk-informed as possible.”

Hill challenges health systems to define their risk tolerance, resource capacity and strategic priorities before making decisions to buy, build or partner. Every AI solution, he argues — whether FDA-cleared or not — demands a tailored response based on the harm it could cause, the infrastructure required to manage it and the controls already in place.

What this means for healthcare leaders:

  • Not all AI warrants the same level of oversight. Administrative tools that pose no clinical risk shouldn’t be governed like life-or-death clinical models.
  • Overspending on low-risk oversight can stall innovation and waste resources that should be focused on higher-impact use cases.
  • Risk-based classification frameworks are emerging to support this shift, helping organizations apply the right level of governance to the right tools.

CHAI is developing one such framework now — designed to help organizations walk through structured, vetted questions to identify the level of risk an AI solution presents and apply the appropriate governance controls accordingly.

“There are certain solutions that should not be governed as strictly… because they don’t present the type of risk that a clinical solution would.”

In a world of finite resources and expanding AI opportunity, leaders must evolve from blanket oversight to risk-calibrated control. Doing so enables faster decisions, safer deployment and smarter resource allocation — all without compromising patient safety or system integrity.

Access the full on-demand webinar, “From Promise to Practice: Driving System-Wide Efficiency with Clinical AI,” with insights from leaders at Foley & Lardner, LLP, Ochsner Health, CHAI and Aidoc. 

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Andy Pollen
Andy Pollen is a former Aidocee.
Andy Pollen
Former Aidocee

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