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Using AI-Powered Heart Monitors to Predict and Prevent AFib with Mark Goddard Infobionic.AI

Empowered Patient Podcast

Release Date: 09/03/2025

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Empowered Patient Podcast

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Empowered Patient Podcast

Jim LaRoe, CEO of Symphion, highlights an often overlooked cybersecurity threat posed by network-connected printers in a hospital setting.  Modern printers are complex devices with numerous features that create vulnerabilities and potential access points to patient and hospital data for cybercriminals, yet they are generally managed outside of the IT security environment. The first step in ensuring printer security is to determine the number of printing devices on the network, their locations, and their configurations. Additionally, it is essential to ask the IT team to demonstrate...

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Mark Goddard, Vice President of Clinical Services at Infobionic.AI,  describes the remote cardiac monitoring system that provides near real-time monitoring of patients with potential cardiac irregularities.  The benefit of continuous monitoring allows for early detection of arrhythmias like atrial fibrillation, a growing concern driven by an aging population and factors like obesity and high blood pressure. AI-driven algorithms are used to analyze ECG data and identify potential issues, enabling proactive treatment and prevention of complications like stroke.   

Mark explains, "The focus of our monitoring system is to provide near real-time monitoring of patients who are reporting maybe cardiac irregularities. The whole idea is to provide that near-real-time access to cardiac information so that arrhythmias can be identified relatively quickly. Additionally, the treatments for those arrhythmias are relatively quick as well, providing better patient outcomes. Just related to the fact that the data is always there, and it comes in maybe a minute or two behind live."  

"We are partnered with a major health system that has an AI engine that is basically developing AI tools that can be utilized in cardiac monitors. And just looking at the patient's ECG, they're able to determine the potential for arrhythmias that may not have occurred yet. And that's kind of what we're focusing on. The ability to review ECG and understand those little nuances that may indicate, hey, this patient's going to have an event like atrial fibrillation, which is the most common irregular rhythm there is, especially for an aging population. Identifying those folks early can really help with not only the outcome for the patient, in that they're not going to run into the problems you may have if you don't recognize you have atrial fibrillation, but it'll also decrease healthcare costs, which in the end helps everybody."

#InfobionicAI #MedAI #Cardiology #AFib #HeartMonitor #CardiacTracking

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