From Screening to Diagnosis in Seconds
See how leading healthcare systems improved their cardiac care with AI-ECG. Real results from real institutions.
Research partnerships include
40%
Faster interpretation
(Mount Sinai, 2024)
87%
Sensitivity
(JACC, 2024)
The Difference
See how AI-ECG changes the way cardiac care is delivered
The Old Way
Manual ECG interpretation
Time-consuming, prone to variability
Delayed specialist review
Hours or days for expert opinion
Missed subtle findings
Human limitations in pattern recognition
Paper-based workflow
Disconnected from clinical systems
The New Way
AI-assisted interpretation
Consistent, instant analysis
Instant risk stratification
Prioritize critical cases immediately
Enhanced detection accuracy
Catch what others miss
Seamless EHR integration
Results flow into clinical workflow
Featured Success Story
Mount Sinai Health System
New York, NY
"AI-ECG has fundamentally changed how we approach cardiac screening. What used to take hours now takes seconds, and we're catching conditions we never would have found before."
Dr. Sarah Chen - Chief of Cardiology
The Challenge
Mount Sinai's cardiology department processed over 50,000 ECGs annually. With limited specialist availability, interpretation delays were impacting patient outcomes and straining clinical workflows.
The Results
40%
Reduction in interpretation time
(Mount Sinai pilot, 2024)
87%
Detection sensitivity
(JACC, 2024)
6mo
Time to positive ROI
(Customer deployment analysis)
Measurable Outcomes
Real results from real healthcare systems
40%
Time Saved
Faster ECG interpretation with AI-assisted analysis. More time for patient care.
(Source: Mount Sinai pilot, 2024)
87%
Sensitivity
High sensitivity for detecting cardiac dysfunction early.
(Source: JACC, 2024)
6mo
ROI
Positive return on investment within 6 months of deployment.
(Source: Customer deployment analysis, 2024)
23+
Publications
Peer-reviewed research validating our AI algorithms.
(Source: PubMed indexed)
Match Mount Sinai's Results
See what similar organizations achieved with AI-ECG
Your Organization
Based on data from Mount Sinai pilot, 2024
If You Match Mount Sinai's Results
Estimated Annual Savings
$315,000
Based on 35% cost reduction
Hours Freed Monthly
267 hours
Based on 40% time reduction
Disclaimer: These estimates are based on results from similar organizations and may vary. Contact us for a personalized analysis.
What Our Customers Say
Healthcare leaders share their success stories
"AI-ECG has significantly improved our cardiology department. We're catching conditions weeks earlier than before."
Dr. Sarah Chen
Chief of Cardiology
Mount Sinai Health System
"We went from being skeptical to becoming advocates in just one month. The improvement in our cardiac care has been remarkable."
Dr. James Rodriguez
Medical Director
Cibolo Health
Common Questions
Everything you need to know about implementing AI-ECG
Typical implementation takes 4-6 weeks from contract signing to go-live. This includes system integration, staff training, and validation testing. Our dedicated implementation team works alongside your IT and clinical staff to ensure a smooth transition.
Yes, AI-ECG integrates with all major EHR systems including Epic, Cerner, MEDITECH, and Allscripts. We use standard HL7 and FHIR protocols, and our team handles the integration work. Results appear directly in your existing workflow.
Training is minimal - typically 1-2 hours for clinical staff. The AI-ECG interface is designed to fit naturally into existing workflows. We provide on-site training, video tutorials, and ongoing support. Most clinicians feel comfortable using the system within their first day.
Our algorithms have been validated in peer-reviewed studies with sensitivity and specificity exceeding 90% for most conditions. The AI is trained on millions of ECGs and continuously updated. Importantly, AI-ECG is designed to assist clinicians, not replace them - final interpretation always rests with the physician.
AI-ECG is HIPAA compliant and SOC 2 Type II certified. All data is encrypted in transit and at rest. We can deploy on-premise or in your private cloud if required. Our security practices are regularly audited by third-party firms.
We offer flexible pricing based on your ECG volume and deployment preferences. Most customers choose a per-interpretation model that scales with usage. Contact us for a custom quote based on your specific needs. ROI is typically achieved within 6 months.
Ready to Improve Your Cardiac Care?
Learn how AI-ECG can help improve patient outcomes and reduce costs at your organization.