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Andy Pollen

How Enterprise AI Is Transforming PERT Response and Incidental Findings

Care Coordination, Coronary Artery Calcification, Incidental Findings, PERT, Pulmonary Embolism
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As hospitals look to move beyond fragmented AI solutions, Jefferson Einstein is proving what enterprise AI can do when it’s deeply embedded in real workflows.

Avi Sharma, MD, CIIP, Director of AI Innovation at Jefferson Einstein, shared in a recent webinar how their Pulmonary Embolism Response Team (PERT) has been transformed by Aidoc’s clinical AI platform and mobile alerts.

“It’s not just about the alert,” he explained. “It’s about making sure the right team sees it, acts on it and ultimately improves care.”

With real-time notifications pushed to mobile devices, Jefferson Einstein’s interventional radiologists can assess a flagged pulmonary embolism (PE) case quickly – even overnight – determine urgency, and begin coordinating with the Emergency Department (ED) before the patient even arrives. That coordination led to a measurable reduction in exam-to-needle time — on average, 20–30 minutes faster.

“That’s not just time saved,” said Dr. Sharma. “That’s increasing the odds of a positive outcome.”

In fact, after implementing Aidoc’s AI-powered platform, the number of PERT activations at Jefferson Einstein doubled. This wasn’t about volume for volume’s sake either: each activation represented a patient who was diagnosed and treated faster, with clearer, more synchronized communication between radiology, the ED, and the intensive care unit (ICU).

Dr. Sharma also emphasized another frontier where clinical AI platforms are making a difference: incidental findings.

“Population health AI is finally getting buzz and traction,” he noted. “But these findings don’t sit neatly in any one department’s workflow, and without a connected infrastructure, they very easily get lost.”

To address this, Jefferson Einstein worked with Aidoc and its Cardiology Department to create a referral workflow for incidental coronary artery calcifications (CAC) findings, often noted in imaging reports but rarely acted on. 

Now, patients flagged with moderate to severe CAC are automatically surfaced to cardiology teams for long-term monitoring and follow-up, complete with referral eligibility based on clinical history pulled from the electronic health records (EHRs) using text-based AI.

Now patients are getting flagged, tracked and, in some cases, treated with coronary artery bypass graft or catheterization — interventions that may not have happened without AI-driven coordination.

“It’s the kind of impact that resonates not just with physicians but with the C-suite,” said Dr. Sharma. 

Watch the full webinar to see how leaders like Dr. Sharma are embedding AI into multidisciplinary workflows, surfacing hidden opportunities in population health and using platform-based strategies to drive faster interventions, stronger collaboration and measurable impact across the enterprise.

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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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