On Demand: A Scalable HF Monitoring Model: Operational and Financial Results From an Eight-Week Pilot-Webinar Recording

Video Transcription

Video Summary

The webinar presented Penn Medicine’s pilot program for heart failure remote monitoring, led by Dr. Benjamin D’Souza and Alana Miller in partnership with Octagos and MedAxiom. The central goal was to show how electrophysiology (EP) and heart failure teams can work together to use existing device data more effectively, prevent decompensation, and create a financially sustainable workflow.<br /><br />They explained that heart failure is a growing clinical and economic burden, and that many patients with implanted cardiac devices already generate actionable heart failure data that was previously being ignored. Penn started with a small, eight-week pilot focused on Boston Scientific HeartLogic-capable devices in patients already followed by heart failure clinicians. Using a structured workflow, nurses reviewed alerts three times weekly, contacted patients within three days, screened symptoms, and applied a standardized diuretic protocol when thresholds were met.<br /><br />The pilot showed strong operational results: 78 alerts, 92% patient contact within three days, about 12.5 minutes per actionable alert, and estimated revenue of $10,590 over eight weeks. Importantly, the program expanded to 154 active heart failure patients without adding staff.<br /><br />A major theme was the value of partnership: EP handles device monitoring, heart failure manages treatment decisions, and Octagos helps surface only the relevant data through a separate heart failure portal and AI-assisted triage. The speakers emphasized starting small, proving value, then scaling. They concluded that this model improves patient care, strengthens interdisciplinary collaboration, and offers a scalable, billable pathway for proactive heart failure management.

Keywords

heart failure remote monitoring

Penn Medicine

electrophysiology collaboration

HeartLogic devices

device data

decompensation prevention

diuretic protocol

AI-assisted triage

patient alerts

financially sustainable workflow