How Enterprise AI Is Reworking PERT Response and Incidental Findings

As hospitals look to maneuver past fragmented AI options, Jefferson Einstein is proving what enterprise AI can do when it’s deeply embedded in actual workflows.

Avi Sharma, MD, CIIP, Director of AI Innovation at Jefferson Einstein, shared in a current webinar how their Pulmonary Embolism Response Staff (PERT) has been remodeled by Aidoc’s scientific AI platform and cell alerts.

“It’s not simply in regards to the alert,” he defined. “It’s about ensuring the proper staff sees it, acts on it and in the end improves care.”

With real-time notifications pushed to cell gadgets, Jefferson Einstein’s interventional radiologists can assess a flagged pulmonary embolism (PE) case rapidly – even in a single day – decide urgency, and start coordinating with the Emergency Division (ED) earlier than the affected person even arrives. That coordination led to a measurable discount in exam-to-needle time — on common, 20–half-hour quicker.

“That’s not simply time saved,” mentioned Dr. Sharma. “That’s rising the chances of a optimistic consequence.”

Actually, after implementing Aidoc’s AI-powered platform, the variety of PERT activations at Jefferson Einstein doubled. This wasn’t about quantity for quantity’s sake both: every activation represented a affected person who was recognized and handled quicker, with clearer, extra synchronized communication between radiology, the ED, and the intensive care unit (ICU).

Dr. Sharma additionally emphasised one other frontier the place scientific AI platforms are making a distinction: incidental findings.

“Inhabitants well being AI is lastly getting buzz and traction,” he famous. “However these findings don’t sit neatly in anyone division’s workflow, and with out a related infrastructure, they very simply get misplaced.”

To deal with this, Jefferson Einstein labored with Aidoc and its Cardiology Division to create a referral workflow for incidental coronary artery calcifications (CAC) findings, usually famous in imaging experiences however hardly ever acted on. 

Now, sufferers flagged with average to extreme CAC are robotically surfaced to cardiology groups for long-term monitoring and follow-up, full with referral eligibility primarily based on scientific historical past pulled from the digital well being information (EHRs) utilizing text-based AI.

Now sufferers are getting flagged, tracked and, in some circumstances, handled with coronary artery bypass graft or catheterization — interventions that will not have occurred with out AI-driven coordination.

“It’s the sort of influence that resonates not simply with physicians however with the C-suite,” mentioned Dr. Sharma. 

Watch the complete webinar to see how leaders like Dr. Sharma are embedding AI into multidisciplinary workflows, surfacing hidden alternatives in inhabitants well being and utilizing platform-based methods to drive quicker interventions, stronger collaboration and measurable influence throughout the enterprise.