Wooble
Back to Uttam's profile
External project

Queue Cure Live – Smart Hospital Queue Management System

Uttam sahuQueue Cure Live – Smart Hospital Queue Management System

Overview

Hospitals and clinics often face long waiting queues where patients do not know their position in the queue, estimated waiting time, or when they will be called for consultation. This creates confusion, overcrowding, and poor patient experience. We identified the need for a smart queue management system that provides real-time patient tracking, wait-time prediction, and consultation monitoring to improve hospital workflow and patient satisfaction.. Process We started by analyzing common problems faced in clinics, such as long waiting times and lack of transparency in patient queues. We designed a dashboard that allows reception staff to add patients, assign consultation times, and manage the queue efficiently. Using HTML, CSS, JavaScript, and Firebase, we implemented real-time queue tracking, automatic token generation, countdown timers, patient history management, and analytics. Multiple tests were performed to ensure accurate wait-time calculation and smooth patient flow. Results The system successfully provides real-time patient queue management, accurate waiting time prediction, live consultation tracking, and cloud-based patient record storage. It improves transparency for patients, reduces waiting confusion, and helps clinics manage patient flow more efficiently. The dashboard provides useful analytics such as waiting patients, completed consultations, average wait time, and operational efficiency. Reflection In future versions, we plan to add SMS and WhatsApp notifications, online appointment booking, multi-doctor support, AI-based wait-time prediction, and advanced analytics. These enhancements will further improve patient experience and hospital efficiency.

Links & files

Artifacts

4

Gallery

4