Frequently Asked Questions
Everything you need to know about AI-ECG implementation, pricing, and clinical use.
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.
Yes, we offer a pilot program that allows you to test AI-ECG with a subset of your ECG volume before full deployment. This typically runs 30-60 days and helps validate the clinical and financial benefits for your specific environment.
AI-ECG screens for over 20 cardiac conditions including atrial fibrillation, heart failure, hypertrophic cardiomyopathy, long QT syndrome, and left ventricular dysfunction. Our algorithm suite is continuously expanding with new detection capabilities.