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Andy Pollen

Beyond the Algorithm: What It Really Takes to Scale AI in Healthcare

Adoption
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In a recent webinar, two leaders — one from industry, one from health system leadership — cut to the heart of one of the most pressing challenges in healthcare AI today: why so many deployments stall, and what it actually takes to scale.

The problem isn’t AI. It’s fragmentation. Demetri Giannikopoulos, Aidoc’s former Chief Transformation Officer, said:

“It’s incumbent on us as vendors to provide not just a single use case but multiple use cases — to take us out of the world of point solutions.”

That shift from point solutions to platforms isn’t just semantic. As Giannikopoulos further explains, true adoption hinges on delivering value across dozens of workflows — 25, 30, even 100. Because when clinical teams see impact across the full spectrum of their work, they engage. When solutions run reliably in the background, adoption becomes sustainable and not just tactical.

Still, it’s not only about scale. It’s also about system impact.

Ashley Weber, Vice President of IS Ancillary Services at Ochsner Health, brought the operational lens, describing the very real consequences of bringing in too many one-off tools — each with its own application, communication channel and interface requirements. 

It’s not only an IT burden that can create liability, since it fragments clinician workflows, but it can also introduce communication risks among the care teams.

“We really want to make sure we have unified communications across our organization… It’s a risk we just don’t want to take.”

The takeaway for healthcare leaders? To scale AI successfully, you need more than a high-performing algorithm. You need infrastructure that consolidates models, limits duplication and aligns with system-wide standards for governance, security and communication.

In other words, AI strategy isn’t about deploying more AI. It’s about deploying AI better.

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 a former Aidocee.
Andy Pollen
Director, Marketing Communications

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