Vlad Ligier
Project Overview
A web and mobile platform was designed to improve pediatric epilepsy diagnosis through remote collaboration and AI-assisted video analysis. The solution allows parents to securely share seizure recordings, while doctors can review and annotate them directly in the system.
Problem & Goals
Traditional diagnosis processes were slow and often inaccessible. Video footage was proven to aid diagnosis, but there was no structured, secure way to use it systematically. The goal was to enable faster, remote, video-based diagnostics and improve doctor–patient communication.
Process & Solution
Conducted interviews with caregivers and physicians to map out user needs
Designed two tailored interfaces: for parents (capture & upload) and for doctors (review & annotate)
Developed mobile-first flows with a focus on simplicity and trust
Built a clean video review dashboard with timestamped annotations
Integrated AI visual cues to support doctors without overwhelming the UI
Outcomes & Metrics
Reduced initial evaluation time by 40% for clinicians
90% of parents reported increased confidence in remote consultations
Platform adopted in multi-center clinical studies
Scalable foundation for future diagnostic tools using video and AI
Next Steps
To ensure continuous improvement, the next steps included monitoring key metrics such as time to first diagnosis review, annotation accuracy, and user drop-off points. The team planned to analyze real usage data from both parents and physicians, conduct follow-up interviews, and identify bottlenecks in the video submission and review flow. Insights would inform the next iteration focused on simplifying interaction patterns, improving trust signals, and optimizing the experience for both clinical and non-clinical users.
Client:
NDA
My Role:
Product Designer
Year:
2023
This medical platform was designed to simplify and accelerate pediatric epilepsy diagnosis by combining AI-powered video analysis with seamless doctor–parent collaboration. Physicians can review seizure recordings directly in the web app, supported by AI-generated insights that reduce diagnostic workload. At the same time, a mobile-first interface for parents makes it easy to capture, upload, and track feedback, ensuring a smooth and efficient diagnostic experience for both sides.
