Cardiothene | Healthcare
Unified ECG Management Platform with AI-Powered Pre-Reads and Secure Physician Workflow
Cardiothene is a unified SaaS platform that streamlines the process of patients uploading ECGs from personal devices for clinical review.
The existing process was clunky, insecure, and led to delayed readings, creating a critical gap in patient care.
Our solution integrated a custom AI model for instant ECG interrogation and built a secure, event-driven architecture that reduced time-to-read and ensured no submission was missed.
The Challenge
Develop a secure, unified platform to manage the entire ECG lifecycle—from patient upload to physician report—while ensuring HIPAA-compliant security and rapid clinician notification. The significant challenges were:
Insecure & Clunky Data Transfer
Patients were emailing ECG PDFs, which is insecure and inefficient. There was no unified, secure method for submission, leading to potential data breaches and lost files.
Lack of Triage & Notification
Without a clear triage system or automated notifications, ECG readings were often delayed as they fell through the cracks in clinician workflows.
Complex Clinical Integration
The platform needed to integrate seamlessly into existing clinical workflows without adding burden, including secure multi-tenant access for different facilities and cardiologists.
Our Technical Solution
We architected a full-stack, serverless solution on AWS with a focus on security, scalability, and a seamless user experience. Here's how:
Some of our deliverables included:
Guided Patient Upload Portal
Built a device-agnostic upload flow (supporting signals, PDFs, images) within a Next.js frontend, featuring metadata validation, consent capture, and immediate email confirmation for patients.
AI-Powered Pre-Read Engine
Integrated a custom ECG analysis service that provides a structured pre-read with confidence scores for rhythm classification, interval flags, and quality checks, speeding up physician decision-making.
Event-Driven Backend Orchestration
Developed a serverless Node.js backend on AWS Lambda, using EventBridge and SQS to orchestrate the entire workflow: from ingest and AI analysis to clinician assignment and notifications, ensuring elastic scalability.
Multi-Tenant Security Architecture
Implemented JWT authentication with role-scoped access (patient/physician/admin), signed URLs for ECG files, and audit logging to ensure full HIPAA compliance and data protection.