Tapping into unrealised potential of Holter registrations using AI and comprehensive workflow integration
Despite advancements, innovations in Holter analysis have yet to significantly impact the healthcare market in key areas:
- Quality – Sensitivity & specificity of arrhythmia detection remain suboptimal. Poor diagnostic accuracy.
- Performance – Turnaround time for data processing and analysis is still slow.
- Time efficiency – Time from Holter upload to final report is dependent on many human stops.
- Diagnostic scope – Spectrum of arrhythmias covered reliably is still limited.
- User-friendliness – Existing tooling lack navigation simplicity, reusability and workflow integration.
Meanwhile, expertise to analyze Holter data is becoming scarcer and more expensive.
... combines years of expertise in cardio electrophysiology with Artificial Intelligence to detect a wide range of arrhythmias swiftly.
Faster turnaround time
- Risk assessment in < 30 seconds – Severity driven diagnosis provides immediate insight.
- Rapid Holter review in minutes – AI-driven platform enables cardiologist assessment in 1-5 minutes, depending on complexity.
Higher quality & more efficient
- Superior diagnostic performance – Outperforms competitors in accuracy and reliability.
- Automated noise filtering – Superior noise filtering improves analysis.
- Cost-Effective – Reduces reliance on Holter technicians due to AI-powered diagnostics.
User friendlier & integrated
- Fast interface for review by cardiologist – Substantially reduces time spent per Holter.
- Seamless EHR Integration – Ensures smooth workflow with existing healthcare systems.
- QR Code Access – Enables future review and further analysis as and when needed.
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