MedQTrack
PROBLEM- Healthcare isn’t failing because of lack of doctors — it’s failing because of lack of systems. Imagine walking into a government hospital OPD at 9 AM… and not knowing whether your turn will come at 10 AM… or 3 PM. Long queues. No transparency. Manual registers. Delayed admissions. Stock-outs of essential medicines. And for many patients — especially the elderly, disabled, or those unfamiliar with technology — even accessing the system itself becomes a challenge.
That’s the problem we’re solving with MedQTrack — an integrated hospital operations management system.
SOLUTION- MedQTrack combines AI, real-time systems, and multi-channel accessibility to:
Enable smart appointment booking with automated voice triage Provide real-time queue visibility and transparency Equip doctors with AI-generated patient context before consultation Improve accessibility through voice and WhatsApp-based interactions Digitize hospital infrastructure like beds and inventory
KEY FEATURES- AI-Powered Summarization AI analyzes patient reports to identify key symptoms and generates concise summaries Multi-Channel Booking (WhatsApp + Voice) Webhook-based WhatsApp automation with speech-to-text pipelines for hands-free booking Real-Time Queue Management Engine Token generation, live queue updates, and wait-time estimation based on throughput Doctor Dashboard Displays live queue, patient details, AI summaries, and supports real-time status updates with emergency prioritization Voice Triage System Records consultations, converts them into structured summaries, and sends outputs in both text and audio formats Smart Bed Allocation System Tracks real-time bed availability with equipment validation (oxygen, monitors, pumps)
TECH STACK-
Frontend: React 18 (TypeScript) Tailwind CSS Framer Motion
Backend: Node.js Express.js
Database: Firebase Firestore
AI & Integrations: LLM APIs (triage + summarization) Speech-to-Text WhatsApp Cloud API
SYSTEM FLOW- Patient books via text, WhatsApp, or voice System generates token, assigns queue, and estimates wait time Doctor views live queue with AI-generated summaries Doctor updates consultation status, updating queue in real time Consultation can be recorded and sent as text/audio summaries Admin manages bed availability and equipment Users view hospitals and real-time available beds
SETUP AND INSTALLATION-
git clone https://github.com/Raama-24/medqtrack.git
cd medqtrack npm install
npm run dev
cd server npm install node index.js
