Faster ECG Interpretation. Earlier Cardiac Insights.
Revolutionizing ECG Management. Cloud Native. Vendor Neutral. AI Enabled. MyoVista Insights analyzes ECGs to surface cardiac dysfunction that standard interpretation misses.
What is MyoVista Insights?
MyoVista Insights is an AI-enabled ECG Management System that transforms standard 12-lead ECGs into actionable cardiac insights. Using advanced machine learning, it enables triage and screening for conditions often missed by traditional interpretation.
Multi-condition screening - Screens for cardiac conditions including left ventricular dysfunction with partner algorithms
Instant risk stratification - Prioritize patients who need immediate attention with confidence scores
Seamless EHR integration - Results flow directly into Epic via HL7 FHIR
Enterprise-Ready Features
Built for healthcare organizations that demand reliability, security, and seamless integration
Vendor Neutral
Works with 12-lead ECG devices from major manufacturers including GE, Philips, Mortara, Cardioline, Welch Allyn, and Baxter. No hardware lock-in.
Cloud Native
Scalable AWS infrastructure designed for healthcare workloads. Auto-scaling to handle varying volumes.
AI Orchestration
Deploy multiple algorithms simultaneously. Mix and match AI models for comprehensive analysis.
EHR Integration
Native HL7 FHIR support. Pre-built connector for Epic with Epic Toolbox designation.
Real-time Processing
Results delivered in under 30 seconds. Immediate actionable insights for clinical workflows.
HIPAA Compliant
Enterprise-grade security with end-to-end encryption for all data at rest and in transit.
The Challenge
Standard ECG interpretation cannot detect early-stage cardiac dysfunction, missing conditions that AI pattern recognition can identify.
- Diastolic dysfunction undetectable on standard ECGCirculation, 2022
- Low EF often missed until symptomaticEur Heart J, 2023
- Echo required for definitive diagnosisCost: $500-2,000 per study
HeartSciences Solution
Our algorithms detect cardiac dysfunction directly from ECG signals, identifying patients who need echocardiography before symptoms appear.
- 87% sensitivity for diastolic dysfunctionJACC: Heart Failure, 2024
- 91% sensitivity for low ejection fractionEur Heart J, 2023
- Works with any 12-lead ECG deviceVendor-neutral platform
What Clinicians Say
Healthcare professionals across the country trust HeartSciences for earlier detection and better patient outcomes.
"You've just solved the world's backlog problem"
"You had me at hello, but you really, you REALLY, had me with the comparisons"
"Our GPs love it. They are still salivating over the caliper tool."
"And I loved the filters. This is moving towards my ECG Nirvana!"
"I really like this. What burns me the most is not having complete control of the filters. This prevents 80-year-old patients from being dragged across town to redo the ECG"
"Regarding ECG Overlays. This is awesome. I don't think that anyone else has this feature!"
"There hasn't been a solution in the middle, between the AI-ECG and EHR, that pulls this all together. The problem with the other solutions are that they are all standalone."
Ready to Improve Cardiac Detection?
See how 12 validated algorithms can help your clinicians detect cardiac dysfunction earlier. Schedule a 30-minute demo with our clinical team.