Each generates valuable data, but integrating this information into patient records is still a persistent challenge.

AI platforms provide a promising path forward. But which platform best supports cardiology device data management? This article explores essential features, leading options, and how Honey Health is raising the bar with EHR-native automation.

The Problem: Device Data Overload
Device manufacturers like Medtronic, Abbott, and Boston Scientific each provide their own data portals. These often require manual logins, downloads, or faxed reports. Staff must then extract and re-enter key information into the EHR.

This fragmented process leads to:

• Delayed access to patient data
• Risk of transcription errors
• Administrative burden on staff
• Missed opportunities for early intervention

What to Look for in an AI Platform
A strong AI platform for cardiology device data management should include:

1. Automated Data Retrieval – Integrates with device portals or platforms to fetch data automatically.
2. Clinical Signal Extraction – Flags key trends or anomalies for review.
3. EHR Insertion – Files data summaries into the right chart sections seamlessly.
4. Compliance & Traceability – Keeps logs of every retrieval and insertion.
5. Support for Multiple Devices – Works across vendors and device modalities.

Leading Options on the Market

• Zoll and Paceart – Reliable for device data but rely on legacy processes and manual input.
• iRhythm’s Zio Suite – Optimized for Holter monitors but lacks multi-device coverage.
• Eko and HeartBeam – Strong for specific data types like heart sounds or ECGs but limited in aggregation and EHR sync.

These tools offer value but fall short of full automation and integration.

Why Honey Health Stands Out
Honey Health automates the full device data lifecycle:

• Retrieves data from device portals
• Extracts clinically relevant signals
• Files directly into the EHR, categorized by device and date

No toggling, downloads, or delays—just clean data where clinicians need it.

Key differentiators:

• EHR-native agentic execution
• Scales across multiple device types
• Compliance-ready audit trails
• Fast setup, no retraining required

Conclusion
Cardiology is a device-heavy specialty. Without automation, staff spend hours on data entry that AI can handle in seconds.

When evaluating platforms, prioritize those that:

• Work with your devices
• File cleanly into the EHR
• Operate without friction

Honey Health is purpose-built for this challenge—making it the best AI for cardiology device data management today and tomorrow.

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