Case Study • Healthcare AI

Healthcare AI Triage

AI Symptom Assessment + Patient Onboarding App

Project Overview

A cross-platform AI triage app that guides users through a dynamic symptom questionnaire and generates disclaimered guidance for next steps.

The Product Story

The product is a patient-friendly digital front door. It asks a multi-step dynamic questionnaire about symptoms and uses AI to generate plain-language guidance.

It’s a healthcare experience that feels more like a friendly guide than a sterile form.

 Key Capabilities Secure user login
Multi-step dynamic questionnaire (symptoms, context, risk)
AI engine generates guidance with medical disclaimers
Results shareable with clinicians
 

The Challenge

Design flows that feel supportive, not scary, while remaining legally cautious.

Supportive, non-clinical UI
Legally cautious AI responses (no diagnosis claims)
Dynamic skip logic for questions
Secure authentication & data storage (HIPAA considerations)

Solution Delivered

Architecture

Flutter app (iOS & Android) with GetX
Firebase Auth & Firestore
LLM (GPT via Azure) for response generation

Key Features

10-step dynamic questionnaire with skip logic
AI response engine with disclaimer injection
Notification-ready architecture for follow-ups
Clean, mobile-first MUI-like design

Results & KPIs

✓ Potential to reduce intake time by ~60–70%

✓ Ability to pre-structure user info before doctor visits

✓ Flexible base for future remote patient monitoring

#healthcare AI app#AI symptom checker#Flutter medical app#patient intake automation#AI triage application

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