International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The problem becomes clear when you enter a government hospital that experiences heavy traffic on Mondays. The issue exists since long ago but continues to create problems. The majority of hospitals use either paper registers or basic digital token dispensers which operate on a first-come, first-served basis. The two methods fail to handle urgent medical needs which leads to actual patient care delays and creates unnecessary waiting periods for essential medical treatment.

HopeStream was developed to fill this requirement. The software functions as a complete web-based hospital queue management system which unifies patient registration with triage-based priority classification and intelligent scheduling into a single system. Rather than assigning tokens in the order patients arrive, HopeStream asks a few targeted questions — body temperature, reported symptoms, and a short checklist of emergency indicators — and uses that information to assign each patient a priority level of High, Medium, or Low. The system performs this task without requiring the receptionist to decide about patient cases.

The scheduling logic uses a weighted round-robin algorithm which maintains a 2:1 rule that High priority patients receive treatment after two High priority patients have been treated. The simple rule enables urgent cases to advance while still allowing doctors to treat patients who scheduled routine check-ups. The system operates department-wise to generate tokens while displaying a waiting-area display that updates every five seconds which includes a doctor panel and automated visit history functions that developers built using Python Flask and SQLite and Bootstrap 5.

Keywords: Hospital Queue Management, Priority-Based Scheduling, Weighted Round-Robin Algorithm, Triage Classification, Python Flask, SQLite, Real-Time Display, Role-Based Access Control

Downloads: | DOI: 10.17148/IJARCCE.2026.15249