Queue Cure '26 – Real-Time Clinic Queue Management System
Built and deployed Queue Cure '26, a real-time clinic queue management system that provides live token updates and accurate wait-time estimation using Socket.IO
Mithra- Video of it working
6->2
Queue management steps
100%
Real-time sync accuracy
Overview
76% of clinics still rely on paper tokens and manual queue handling, causing long waiting times, lack of visibility for patients, and inefficient queue management for reception staff.
Process
- Receptionist adds a patient.
- System automatically generates a token.
- Patient is added to the waiting queue.
- Queue data is stored and managed on the server.
- Receptionist calls the next token when consultation is completed.
- Socket.IO instantly broadcasts updates.
- Patient display updates in real time.
- Estimated wait time is recalculated dynamically.
Results Successfully developed and deployed a real-time clinic queue management system with synchronized receptionist and patient dashboards. The application achieved instant queue updates using Socket.IO, improved queue visibility, and provided dynamic wait-time estimation without requiring page refreshes.
Reflection If given more time, I would add database persistence, support for multiple doctors and clinics, appointment scheduling, SMS/WhatsApp notifications, and advanced analytics to make the system production-ready and scalable for real-world healthcare environments.