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Aidoc Staff

From Startup to Systemwide: How Jefferson Einstein Scaled AI from One Use Case to an Enterprise Platform

Adoption, aiOS, Customer Success, System Integration
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In 2017, Aidoc was just a small booth in the basement of the Radiological Society of North America (RSNA). That’s where Avi Sharma, MD, CIIP, and the team at Jefferson Einstein first encountered them offering a bold promise: AI could help transform radiology.

“It was very exciting, very novel,” said Dr. Sharma, Director of AI at Jefferson Einstein, during a recent webinar. “But, ultimately, they [Aidoc] were looking for partners to help prove the theory that AI can help radiology.”

Jefferson Einstein was one of those early partners. The initial deployment was intentionally cautious — an academic “sandbox” — to test the accuracy, clinical value and scalability of AI tools like intracranial hemorrhage (ICH) and pulmonary embolism (PE) awareness within a health system.

But from the start, Aidoc approached the relationship differently. “They didn’t come in as just a bolt-on isolated tool,” Dr. Sharma explained. “They focused on integrating into our systems and eventually evolved into a true enterprise layer.”

That mindset shift — from tools to infrastructure — was pivotal.

As Aidoc’s AI portfolio grew, so did Jefferson Einstein’s strategy. The question became not just ‘can this algorithm help?’, but ‘how do we unify and orchestrate the output of all these tools across the system?’ 

The answer came in the form of aiOS™, Aidoc’s enterprise clinical AI platform.

“What made that transition seamless is that we grew alongside Aidoc,” Dr. Sharma said. “And that integration layer you guys focused on allowed you to very easily move beyond radiology, ultimately allowing us to touch other subspecialties that need this information to act and improve care.”

In this short clip, Dr. Sharma reflects on how Jefferson Einstein’s real-world deployment journey helped shape Aidoc’s evolution from point solutions to platform, and why scalability requires more than stacking algorithms.

Watch the full webinar to see how leaders like Dr. Sharma are moving beyond point solutions to build scalable AI infrastructure that prioritizes patients in real time, connects workflows across departments and delivers measurable clinical impact.

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