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Why AI Success in Healthcare Starts with Workflow, Not Hype

“AI is only as good as what you make of it and how you fit it into the value chain,” said Leonardo Kayat Bittencourt, MD, PhD, Vice Chair of Innovation at University Hospitals, in a recent webinar discussion. “If you treat it like snake oil — just throw it in and hope for results — you’ll be disappointed,” he said.

Dr. Bittencourt likened it to a Formula 1 car: powerful, precise and completely useless in the wrong hands. “If you give me a Formula 1 car, I’ll crash it. But if it belongs to radiology, you better have radiologists in the cockpit who know how to handle it.”

That’s where the value of a true clinical AI platform comes into focus. It’s not enough to install tools, you need the right people and processes to integrate them into care delivery. 

That’s why both Dr. Bittencourt and Avi Sharma, MD, CIIP, Director of AI Innovation at Jefferson Einstein, emphasized the importance of change management, workflow alignment and subspecialty leadership.

“Success doesn’t come from just buying AI,” Dr. Sharma added. “It comes from someone at the grassroots level, someone who understands the nuance of the workflow and can help colleagues use it.”

Watch the clip to hear why Radiology Departments should lead the AI conversation, and how real success depends on workflow ownership, not just technical capability.

Access the full webinar to see how leaders, like Dr. Bittencourt and Dr. Sharma, are turning experience into strategy — deploying AI platforms that align with clinical workflows, enable frontline leadership, and deliver measurable value across the health system.

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Andy Pollen
Andy Pollen is a former Aidocee.
Andy Pollen
Director, Marketing Communications