Empowered Patient Podcast AI-Powered Device Provides Real-Time Screening for Early Detection of Heart Failure Symptoms with Chris Darland Peerbridge Health
Chris Darland, President and CEO of Peerbridge Health, discusses technology breakthroughs that enable early, low-cost detection of heart issues with a cardiac monitor that uses AI to analyze heart rhythms over time to detect patterns that may indicate heart failure. The device is based on ECG technology that drives the Holter monitor and delivers a full 12-lead ECG with a volumetric 3D view of the heart. The goal is to reach more patients who may not proactively seek medical attention and provide early intervention and treatment.
Chris explains, " I think the problem with the current state is largely that it's too late. And I say that to mean that 80% of all heart failure cases today are getting caught after an emergency room visit. So, it's not necessarily that we don't have the tools to find heart failure and the cardiologists and expertise to identify it, but we're not getting it in time. So if you are one of those patients who, let's say, are caught earlier or maybe unfortunately when you come through the ER, a lot of the tools are existing in the hospital. So you'll get an ultrasound, an echo, to get a view of your heart. We'll do an ECG in the hospital and potentially a cardiac MRI. There's a suite of tools available in the acute care setting that can get to this conclusion relatively quickly if you have all the tools right in front of you."
"The nice part about it is it's relatively accepted from a workflow perspective, a tool that's used quite commonly and has become exceedingly convenient over the last five to 10 years. There is a lot of innovation in a handful of companies to make it easy to wear, light, waterproof, etc. And when we think through the innovation we're working through right now, it's essentially using that tool and the output of this ambulatory cardiac monitor that we have in Peerbridge. Then doing some interesting AI advanced diagnostics on top of it to pick up patterns that were maybe lost historically or potentially missed based on signal fidelity of devices that were in the market. Then using those patterns to try to get a head start on heart failure diagnosis as well as a handful of other things we can show they do."
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