Mediqueue: Digital Appointment and Queue System
1st Prof. Samir Patil
Assistant Professor, Computer Science & Engineering Jhulelal Institute of Technology Nagpur, Maharashtra, India
s.patil@jitnagpur.edu.in
2nd Gitu Thakre
Department of Computer Science & Engineering
Jhulelal Institute of Technology Nagpur, Maharashtra, India gituthakre7@gmail.com
3rd Tejaswini Paunikar
Department of Computer Science & Engineering
Jhulelal Institute of Technology
Nagpur, Maharashtra, India
tejaswinipaunikar01@gmail.com
4th Shlok Wankhade
Department of Computer Science & Engineering
Jhulelal Institute of Technology
Nagpur, Maharashtra, India shlokwankhede77@gmail..com
5th Khushboo Bhagat
Department of Computer Science & Engineering
Jhulelal Institute of Technology
Nagpur, Maharashtra, India
wankhedetina9@gmail.com
6th Tina Wankhede
Department of Computer Science
& Engineering Jhulelal Institute of Technology
Nagpur, Maharashtra, India
khushboobhagat273@gmail.com
Abstract :- Healthcare institutions frequently encounter challenges such as long waiting time, inefficient appointment scheduling and resource underutilization, which affect patient satisfaction and service quality [1], [2]. To address these issues, Mediqueue:- Digital Appointment and Queue System is developed as a smart, web based platform that integrates digital appointment booking, real-time queue tracking, and automated scheduling. The system leverages optimization and machine learning algorithms to predict appointment durations and dynamically manage patient flow, reducing idle time for both patients and medical staff [1], [3], [5]. It implements intelligent scheduling policies and overbooking strategies to enhance healthcare resource utilization, as demonstrated in prior optimizationbased scheduling research [4], [6]. Through an interactive interface, patients can seamlessly book, reschedule, or cancel appointments, while hospital administrator can monitor queues and staff availability in real time [7], [8]. The proposed model improves hospital efficiency and services delivery by minimizing waiting time and enhancing throughput, similar to recent mobile and cloud-based healthcare queue management systems [9], [10]. Overall, Mediqueue demonstrates that integrating smart scheduling, realtime monitoring, and automation technologies can significantly transform patient management and operational workflows in modern healthcare environments.
Keywords :- Digital appointment system, Queue management, Healthcare automation, Machine learning, Smart scheduling, Patient flow optimization.
