MedQTrack

Inspiration

Hospitals still rely heavily on manual registers, Excel sheets, and disconnected systems. Patients wait for hours in OPD queues without updates. Staff manually track bed availability, causing delays in admissions. Pharmacy teams struggle with stock tracking and expiry management.

We were inspired to build a unified, intelligent hospital management platform that connects all departments in real time — eliminating delays, confusion, and inefficiencies.

What it does

Smart OPD Queue Management: Automatically generates and allocates patient tokens Predicts waiting time dynamically based on live queue length Updates patient position in real time Allows doctors to call the next patient through a dashboard Synchronizes instantly across all devices
SMART Digital Bed Management System: Maintains a live visual map of hospital beds Tracks status: occupied, available, under cleaning Updates instantly when admissions or discharges occur Prevents admission delays caused by manual tracking Also tracks which bed has all equipments like oxygen supply , vital monitor , infusion pumps etc (A Bed is is marked available ONLY if its well EQUIPED.)(added)
Intelligent Inventory Monitoring: Tracks stock levels in real time Generates automatic low-stock alerts Flags medicines nearing expiry Maintains department-wise inventory visibility
AI-Generated Medical Summary:(added) Aggregates patient history and previous reports Generates a structured summary before consultation Reduces manual review time for doctors
Pateints can also book appointments simply through whatsapp by sending a message "hi" and giving necessary details like name , age , gender etc . The patients gets a token and can thereby track that token as well.(added)

How I built it

TypeScript for scalable and maintainable development Firebase Authentication for secure user access Firebase Firestore for real-time cloud database Real-time listeners for instant cross-device synchronization Whatsapp Cloud API for booking through whatsapp Modular architecture integrating OPD, admissions, bed management, and pharmacy

Challenges I ran into

Ensuring real-time synchronization without conflicts Implementing accurate wait-time prediction logic Structuring inventory tracking with expiry and alert logic Managing role-based access for doctors, staff, and administrators

What I learned

Designing real-time distributed systems using Firebase Firestore and event listeners Creating modular frontend architecture for independent yet connected modules (OPD, beds, inventory) Implementing wait-time prediction logic based on dynamic queue data Designing alert systems using threshold-based triggers (low stock, expiry tracking) Text summarization using Tesseract