Last updated: July 14, 2026
Device clinics have seen major growth in their CIED patient population, with many sites now managing large device counts. A typical clinic processes thousands of transmissions annually. A substantial portion of those alerts are clinically non-relevant, and that volume makes manual triage across multiple OEM portals unsustainable.
Fragmentation creates consequences beyond staff frustration. A 2026 abstract (PO-FPI-338) from Emory Healthcare and Baptist Health found that vendor-provided package advisory lists miss approximately 88% of actively exploited CVEs. Manual tracking of those advisories required weeks of spreadsheet work, pulling staff away from high-risk patient stratification.
Staffing compounds the problem. Gaurav A. Upadhyay, MD, FACC, FHRS, Professor of Medicine and Director of the Pacing & Defibrillation Device Clinic at University of Chicago Medicine (UCM), put it this way: "Staffing was always an issue for our center, because our device clinic, like many other medical centers, had struggled with technician turnover and timely weekend coverage." Revenue leakage follows directly. Without a centralized system tracking billable events, practices routinely miss documentation required for CPT codes 93298, 93299, and 99454.
These compounding problems point to a clear need: a structured way to evaluate whether a platform can actually solve them. The following six criteria determine whether a remote monitoring platform can sustainably support a mixed-vendor CIED practice in 2026.
See Rhythm360 consolidate a mixed-vendor fleet in a live walkthrough.
The table below maps each criterion to the documented performance of traditional manufacturer portals versus Rhythm360, with the operational impact for mixed-vendor practices.
| Criteria | Manufacturer Portals | Rhythm360 | Impact |
|---|---|---|---|
| Multi-vendor consolidation | Single OEM only; separate login per manufacturer | Vendor-neutral ingestion via API, HL7, XML, and computer-vision PDF parsing across all major OEMs | Eliminates redundant logins; captures more affected patients than manufacturer lists alone |
| Data transmissibility | Dependent on single OEM server uptime; no fail-safe | Redundant data feeds and AI-powered extrapolation deliver >99.9% transmissibility | Critical events are not missed due to OEM server outages |
| EHR integration depth | Limited or read-only; manual transcription required | Bi-directional integration with Epic, Cerner, Athenahealth, eClinicalWorks, and others via HL7 | Eliminates manual data entry; supports a single longitudinal patient record |
| AI alert triage | Raw alert feeds; a substantial portion of alerts clinically non-relevant | AI-driven prioritization with optional 24/7 CCT oversight; 80% reduction in critical alert response times | Reduces alert fatigue; enables earlier clinical intervention |
| Automated CPT documentation | Manual; prone to missed billing events | Automated capture for 93298, 93299, 99454, and RPM codes | Closes revenue leakage; up to 300% revenue improvement over manual processes |
| Implementation timeline | Varies; no standardized onboarding | Days to weeks, including EHR integration setup | Faster time to first billable encounter |
| Pricing model | Fixed or per-device; limited scalability | SaaS-based; scales with clinic size and platform usage | Accessible for practices of all sizes without punitive setup fees |
This same consolidation logic plays out at scale. UCM processed more than 73,000 reports annually through Rhythm360 in calendar year 2025, averaging more than 18,000 reports per quarter. Andrew Beaser, MD, Associate Professor of Medicine at UCM, described the pre-implementation state as "a major challenge and incredibly difficult," and noted that after implementation, clinicians reviewed more transmissions daily and identified more abnormalities.

Alert fatigue is the most consistently documented operational disadvantage of remote patient monitoring for device clinics in 2026. When a substantial portion of incoming alerts are clinically non-relevant, staff spend a disproportionate share of their time triaging noise instead of acting on real signals. Marcus Pritchett, Cardiac Device Specialist at Kansas City Heart Rhythm Institute, described the risk directly: "The last thing we want is to expose patients to bad patient care and expose our doctors and our APPs to maybe missing something that's very clinically relevant that could compromise patient care."
Rhythm360 addresses this through two mechanisms. Its AI-powered triage layer filters non-actionable transmissions and surfaces clinically significant events, such as new-onset atrial fibrillation, ventricular tachycardia, or lead malfunction, in a prioritized queue. Practices that need extra coverage can add optional 24/7/365 oversight from certified cardiac technicians supervised by physicians, so critical alerts get timely human review regardless of time or staffing gaps.
For practices managing patients across multiple device manufacturers, vendor-neutral platforms with AI-powered reliability and automated billing documentation outperform single-vendor portals on every operational dimension that matters at scale. Single-vendor portals cannot provide a unified view of a mixed-vendor fleet. They force parallel workflows that multiply administrative burden with each additional OEM in the patient population.
The 2026 evidence backs this up. The Emory Healthcare abstract (PO-FPI-338) found that vendor-neutral platforms identified 100% of affected patients during a device advisory, capturing more patients than manufacturer lists alone. Shannon Sorescu, Certified Cardiac Device Specialist at Emory University Hospital Midtown, said: "Relying on a manual process to track device advisories puts patients at risk; by using an automated platform, we identified 7% more affected patients that were missing from the manufacturer lists and cleared our highest-risk patients within 24 hours."
Other vendor-neutral platforms exist in this space, but Rhythm360 combines the >99.9% transmissibility discussed earlier with bi-directional EHR integration, AI-driven triage, automated CPT documentation, and SaaS pricing that scales from solo practices to large academic medical centers.
These same factors determine fit differently depending on practice size. The breakdown below maps device volume and staffing to the capabilities that matter most.


