My Role
Project Type
Platform
tools used
The Problem
Respiratory testing introduces unique design challenges. Users must correctly record breathing sounds, understand their results, and trust the accuracy of the technology. Many existing solutions rely on expensive medical equipment or complicated workflows that create barriers for everyday users.
The Solution
Virufy introduces a mobile-first platform that allows users to analyze respiratory sounds through simple cough recordings. By leveraging machine learning, the system delivers instant insights, helping users better understand their respiratory health while providing accessible screening tools.
Key Design Highlights
Guided Recording Experience
A step-by-step recording flow helps users capture accurate cough samples while minimizing confusion during the process.
Simplified Health Insights
Complex respiratory data is translated into clear visual summaries that help users understand their health status quickly.
Accessible Medical Interface
Large touch targets, clear contrast, and simple navigation ensure the platform remains usable across diverse environments and devices.
Core Feature #1
The app walks users through a simple step-by-step process to record cough samples accurately, reducing confusion and ensuring reliable data collection.
Core Feature #2
Machine learning models analyze cough recordings to identify patterns associated with respiratory conditions and generate immediate insights for users.
Core Feature #3
Complex respiratory analysis is translated into simple visual summaries so users can quickly understand their health data without requiring medical expertise.
From Insight to Impact
The mobile experience translates complex respiratory analysis into clear and accessible health insights. The interface guides users through recording cough samples and viewing AI-generated results with minimal friction. By simplifying how data is presented, the design helps users understand their health information quickly and confidently.
Designing within a healthcare context emphasized the importance of clarity and empathy. Medical information must be communicated carefully so users understand results without feeling overwhelmed or alarmed. This project strengthened my ability to simplify complex data while maintaining accuracy and trust.
