Upload ECG. Get beat‑level labels and a clinician‑style summary.
HIPAA‑ready cloud analytics for clinics, telehealth, and med‑device teams. Built on AWS SageMaker & Bedrock for scale, speed, and security.
At a glance
- Secure ECG upload via encrypted storage
- Automated detection (AFib, PVCs, AV block)
- Summary report with episode counts & durations
- Audit trails & versioned models
- Elastic API for bulk or real‑time use
Deployment options: CPU for pilots, GPU for high‑volume; multi‑model endpoints to optimize cost.
Automated Arrhythmia Detection
Deep‑learning models tuned on long‑form recordings detect AFib, PVCs, AV block and more, with beat‑level outputs for review.
Clinician‑Style Summaries
Structured findings are transformed into clear, physician‑readable summaries to accelerate reporting and workflow.
HIPAA‑Ready Infrastructure
Encryption at rest & in transit, least‑privilege access, audit logs, and BAA availability on HIPAA‑eligible AWS services.
How it works
- Upload ECG via secure portal or API (bulk & streaming supported).
- Inference on managed endpoints (right‑sized CPU/GPU with autoscale).
- Review beat‑level annotations and episode summaries in the dashboard.
- Report export in PDF/JSON with full traceability.
Technical stack
- AWS SageMaker for training & real‑time inference
- Amazon S3 with KMS keys and VPC endpoints
- EventBridge for scheduled retraining
- CloudWatch for monitoring & drift alerts
- Bedrock LLMs for narrative summaries
Compliance
We follow best practices for PHI: store PHI only in HIPAA‑eligible services, encrypt data at rest and in transit, maintain access controls and audit logging, and execute a Business Associate Addendum (BAA) upon request.
Request a pilot
Ready to evaluate CardioCodist with your clinical or device workflow?