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Blog
Andy Pollen

AI Adoption Isn’t Just Technical — It’s Cultural

Adoption, Information Technology, System Integration
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For health systems looking to adopt AI at scale, the challenge isn’t simply technical implementation. It’s also trust, integration and cultural alignment.

That’s the message from Ashley Weber, Vice President of IS Ancillary Services at Ochsner Health, who, in a recent webinar, shared a framework for deploying AI in ways that actually work — and stick — in the clinical environment.

“It can’t be something that’s less accurate than the clinicians using it because that loses trust.”

Trust is the foundation of all technology integrations. If a solution doesn’t meet or exceed clinical expectations, it becomes a distraction — not a tool. As Weber emphasizes, success depends on what happens after the model is built.

“You have to spend the time understanding the workflows… It has to work within their current infrastructure.”

That means embedding AI into day-to-day communication patterns, not disrupting them. Communication, she notes, isn’t just about texts or alerts; it’s about the ability to leave a note, find that note and maintain the cadence of care without switching tools.

Weber notes that what has truly set Ochsner apart in AI implementation success is its organizational mindset.

“We’ve really bought in as a culture of technology.”

Ochsner’s clinical and operational teams understand there simply aren’t enough people to meet today’s care demands. AI isn’t framed as a threat, rather it’s positioned as a support system. That mindset shift, Weber says, only happens when innovation is explicitly tied to the system’s core mission.

“When you don’t do that — when you miss that mark — people are left asking, ‘Why are we doing this?’ And in the absence of clarity, people create their own stories.”

In summary, scalable AI adoption isn’t just a technical endeavor — it’s a cultural one. It demands:

  • Clinically credible tools that meet or exceed the standard of care
  • Seamless integration into existing workflows and communication patterns
  • Clear alignment with the organization’s mission and the realities of workforce strain

When those elements come together, AI doesn’t feel like a mandate, it feels like a solution clinicians rooted in trust.

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, Coalition for Health AI (CHAI) and Aidoc. 

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Andy Pollen
Andy Pollen is an experienced healthcare communicator and strategist who currently serves as the Director of Marketing Communications for Aidoc. Previously, he was the global marketing communications lead for critical care solutions within 3M Health Care's Medical Solutions Division, now Solventum. Pollen has also held communications positions with the University of Minnesota Academic Health Center, Indiana University Health and several business functions within Eli Lilly and Company through Borshoff, a creative services agency. He earned a bachelor’s degree in public relations and journalism from Ball State University and holds a master’s degree in business administration from Anderson University.
Andy Pollen
Director, Marketing Communications

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