Meda
AI triage with instant doctor handoff — faster, safer first diagnosis.
Responsibility
UI/UX Designer ( UX Research, Information Architecture, Prototyping, UI, Visual Design )
Year
2023
Tools
Figma, Airtable, Notion
A mobile app designed with HIPAA-aligned safeguards that uses AI to analyze symptoms, guide patients, and connect them with doctors.
CHALLENGE
Patients wait weeks for minor issues, while doctors lose valuable time on non-urgent cases. Both sides want faster, more personalized healthcare guidance.
SOLUTION
In early interviews (n=10), 8 out of 10 interview participants reported long wait times and confusion with medication schedules. Meda integrates AI-driven chat intelligence with secure telemedicine.
For patients: AI interprets symptoms, explains medication, and monitors side effects.
For doctors: AI pre-triages cases, saving time for urgent interventions.
For clinics: Fewer low-acuity visits, freeing capacity for urgent care.
DISCOVERY & RESEARCH
Compliance: HIPAA rules shaped the foundation → secure login, encryption, 2FA, auto log-out.
Market gap: Competitors (Teladoc, MDLive, PlushCare) provide either basic chatbots or telemedicine. None integrate AI-driven triage + doctor handoff.
User pain points (interviews, n=10):
– Long waiting times for minor issues.
– Confusion around medication schedules.
– Anxiety from lack of quick reassurance.
– Elderly users struggle with complex apps.
DESIGN PROCESS
User Flows: Structured patient path: Symptom input → AI triage → Med tracking → Doctor call.
Wireframes: Explored conversational UI and medication reminders.
Usability Tests (n=5): Validated whether AI insights felt trustworthy and whether older users could navigate easily.
Journey:
Larger UI elements → senior-friendly.
Session markers in chat to separate old vs. new conversations.
Added “AI explanation cards” (why a symptom was flagged).
Simplified chatbot input → quick replies + voice option.
Added microcopy for medical disclaimers and emergency prompts.
VISUAL DESIGN SYSTEM
Typography, Colors, Components:
We used Poppins for its geometric, highly readable qualities. It balances professionalism with warmth, making it suitable for both medical interfaces and everyday interactions.
Headings (H1–H3): Bold, strong hierarchy.
Body text: Regular for readability.
Captions: Semi-Bold for emphasis on smaller UI elements.
Colors: Neutral base + calming medical blue
Components: Standardized cards, pills, chat bubbles, quick reply chips.
IMPACT & OUTCOMES
Symptom logging — faster and easier
In usability tests (n=5), participants logged symptoms ~40% faster with quick replies and voice input compared to traditional form fields.Reduced workload for doctors
By pre-triaging low-risk cases, Meda filtered out minor concerns before they reached a physician — freeing up time for urgent consults.Trust in AI suggestions
Users rated Meda’s explanations and recommendations as “clear and helpful” (avg. 4.2/5), showing increased confidence after iterations.Accessibility improvements
After enlarging UI elements and adding session markers, elderly participants were able to complete all tasks independently — a significant step towards inclusivity.
NEXT STEPS
Smartwatch integration
Real-time vitals (heart rate, glucose, sleep) synced with Meda for continuous monitoring.AI-powered dashboards
Personalized dashboards for chronic condition management — trends, alerts, and insights.Educational resources
AI-generated health explanations written in simple, accessible language for all literacy levels.Predictive care
AI models that anticipate flare-ups based on symptom history, enabling proactive care.
KEY TAKEWAY
Meda was not a redesign — it was a from-scratch, AI-powered healthcare product.
From research to prototyping to polished UI, I created a secure, accessible, and scalable assistant that blends AI efficiency with human expertise, making healthcare faster, smarter, and more human.
