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 across all five campuses, integrating seamlessly with their Epic EHR. The system now pre-screens all 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
82%
Improvement in early detection
More conditions caught at earlier, more treatable stages
6 months
Time to positive ROI
Cost savings exceeded implementation investment
95%
Clinician satisfaction
Staff report high confidence in AI-assisted workflow
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 across all campuses
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