Mount Sinai Health System
New York, NY
Beds
3,500+
ECGs/Month
15,000+
Hospital facility photo
"AI-ECG has fundamentally changed how we approach cardiac screening. What used to take hours now takes seconds, and we are catching conditions we never would have found before."
Dr. Sarah Chen - Chief of Cardiology
The Challenge
Mount Sinai was struggling with increasing ECG volumes while maintaining interpretation quality. Their cardiology team was spending too much time on routine interpretations, leaving less time for complex cases and patient care.
The Solution
AI-ECG was deployed as a research pilot, integrating seamlessly with their Epic EHR. The system now pre-screens ECGs, flagging high-risk cases for immediate review while providing AI-assisted interpretation for routine cases.
Results
40%
Reduction in interpretation time
Cardiologists now spend significantly less time on routine ECGs
(Mount Sinai pilot, 2024)
87%
Detection sensitivity
High sensitivity for detecting cardiac dysfunction
(JACC, 2024)
6 months
Time to positive ROI
Cost savings exceeded implementation investment
(Deployment analysis)
Implementation Timeline
Discovery & Planning
2 weeksStakeholder interviews, technical assessment, project planning
Integration
3 weeksEHR integration, workflow configuration, testing
Training
1 weekClinical staff training, go-live preparation
Go-Live
OngoingPhased rollout
Ready to Improve Your Cardiac Care?
Learn how AI-ECG can help improve patient outcomes and reduce costs at your organization.