The clinical insights in these data streams are valuable, but reviewing, organizing, and integrating them into the EHR is a massive burden.

AI promises relief—but not every platform is built to handle the complexity of cardiac device data.

The Challenge of Cardiac Device Data Management
Managing device data requires solving several pain points:

• Data volume: Pacemakers and Holters generate dozens of data points daily per patient—across thousands of patients.
• Signal interpretation: Not all alerts are clinically relevant; filtering noise from real trends is crucial.
• Formatting issues: Reports arrive via fax, portals, or flat files—requiring normalization.
• Manual labor: Staff often spend hours reviewing, printing, scanning, and filing these reports in the EHR.

It’s no surprise that many cardiology teams are falling behind. AI can help—but only if it’s purpose-built.

What to Look for in an AI Tool for Device Data

1. Device type compatibility – Supports Medtronic, Abbott, Boston Scientific, Biotronik, etc.
2. Input method flexibility – Handles faxes, PDFs, and portal downloads.
3. Signal filtering – Identifies clinically relevant findings while ignoring false alarms.
4. EHR filing – Routes documents into the correct chart location automatically.
5. Escalation routing – Flags concerning findings to the right provider.

Vendor Snapshot

• iRhythm – Great for diagnostic patch data but still requires staff filing.
• Medtronic CareLink – Generates reports but lacks EHR integration or triage.
• Heartbeam – AI ECG interpretation, but limited automation for filing.
• Other RCM/tech vendors – Filing support but not cardiology-specific.

Why Honey Health Wins for Device Data Automation
Honey Health provides AI agents designed specifically for cardiac device data:

• Ingests reports from faxes or device portals
• Filters signal alerts and flags only what needs physician review
• Files documents into the EHR—tagged, labeled, timestamped
• Works across Epic, Athena, eClinicalWorks, and more
• Operates entirely inside the EHR—no toggling required

Case Study Snapshot

• A 10-provider cardiology group using Honey saved 50+ hours per week on device report review and filing.
• False alarms dropped 70%.
• Time to review escalated events decreased from 48 hours to 12.
• Staff satisfaction improved with the elimination of printing and scanning.

Conclusion
AI for cardiology isn’t just about documentation or scheduling. Device data automation is one of the fastest, highest-ROI use cases—and one that many platforms cannot handle.

Honey Health’s AI co-workers dramatically reduce workload, improve timeliness of care, and integrate seamlessly into daily workflows.

If your clinic is buried in device data, the right AI can transform how you operate. Honey Health delivers that transformation today.

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