AI-Powered Rehabilitation Platform
RegenX
Project Overview
RegenX is a cutting-edge health-tech platform that utilizes artificial intelligence to create highly personalized physical rehabilitation and recovery plans for patients. It ingests data from patient medical histories and wearable telemetry devices to adjust prescribed recovery exercises dynamically based on real-time progress.
The core challenge was ensuring the AI-generated medical advice was genuinely safe, clinically sound, and appropriate for patients to follow at home. Furthermore, we had to ensure the entire system architecture was strictly compliant with HIPAA regulations regarding the storage and transmission of Protected Health Information (PHI).
Testing Strategy & Focus
My testing strategy had to carefully balance standard software functionality testing with clinical safety validation and security compliance.
• I tested the core AI recommendation engine by running thousands of historical patient data sets through the model. The outputs were then reviewed in tandem with certified medical professionals to verify the safety, accuracy, and clinical appropriateness of the generated exercise plans.
• I validated the API endpoints that ingested telemetry data from patient wearable devices, ensuring the data was encrypted in transit (TLS 1.3) and stored securely, meeting all HIPAA technical safeguards.
• I wrote and maintained a suite of Selenium automation scripts for the provider dashboard. This automated the complex workflows doctors used to review, modify, and officially approve the AI-generated plans before they were sent to the patient app.
Business Impact
The platform was successfully rolled out to a pilot group of early-adopter sports medicine clinics without a single data breach or clinical safety incident.
Our automated UI test suite cut regression testing time in half. This allowed the development team to release new platform features and AI model updates much faster, accelerating the product's overall time-to-market.
Need Similar Results?
Let's discuss how we can implement a robust testing strategy for your next product.