Empowered Patient Podcast AI-Copilot for Doctors Reduces Clinician Burnout and Improves Diagnoses with Eli Ben-Joseph Regard
Eli Ben-Joseph, Co-Founder and CEO of Regard, works with health systems to integrate AI into their medical record systems to help doctors by highlighting issues, aiding in the diagnosis, and writing medical notes after a patient visit. With increasing doctor burnout, an emphasis on more efficient workflow supported by technology is a path to giving providers more time with patients and less time on administrative issues and on their computers.
Eli explains, "We say that it's essentially an AI co-pilot for doctors. The way that works is we have a deep integration with leading medical records, both Epic and Cerner. And when a health system partners with us they will link our software to their system. When a doctor opens up Regard, the moment they click the Regard button, our technology goes into the medical record and fetches the entire medical record data for that patient. All the labs, all the history, all the vitals."
"What we recognized when we started this company is that doctors are spending way more time today than ever before having to make sure they document in a way that they can bill for it, that it doesn't get denied by insurance. They spend a lot of time dealing with prior authorizations or requirements that they have in terms of how they write their notes, and that's where that toil exists in healthcare. So we saw an opportunity to help automate a lot of those tasks, and that's where we step in."
"So, a quick story: one of my favorite stories is one of our physicians, long time user, was working on a patient who had a stroke and she opened up Regard. And our technology went through years of data in a matter of seconds and found a note from an outpatient doctor that said that this patient has an atrial fibrillation, which is a fluttering of the heart, which it's very important to know that if you're dealing with a stroke. Because of our technology, she was able to see something that she would not have seen otherwise, that this patient had an AFib. She would've totally missed it because it was years back in piles of data. And because of that, she was able to adjust the care that she gave this patient. And that had a really positive impact on that patient's care as well."
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