smart queue management system which helps
- 1. Real Time Project Presentation on SMART QUEUE MANAGEMENT SYSTEM USING SPRING BOOT 23R21A66A0-K.Vishnu 23R21A6696-K.KumarNaik 23R21A66B9-R.Hariprasad 23R21A66A9-N.Rathnakar Under the Guidance of Mrs G.Umamaheswari Asst Professor Department of Computer science & engineering -Artificial intelligence and Machine learning 28/03/25
- 2. Content • Abstract • Introduction • litrerature survey • Existing system • challenges of existing system • proposed system • objectives • Architecture • Conclusion • References
- 3. Abstract The Smart Queue Management System is a web-based application designed to streamline patient flow in Hospitals by reducing wait times and improving service efficiently. The system enables users to register and authenticate, select their preferred hospital, and join a queue with real-time status tracking. A payment Processing feature ensures seamless transactions before queue entry. The integrated payment processing system ensures secure transactions,Additionally,users can optionally schedule appointments,receive real-time notifications, and stay informed about queue status through SMS,email,or push notification. For hospital administrators, the system provides an admin dashboard for effective queue management,appointment control,and payment tracking. By enhancing patient flow and reducing wait time, the smart queue management system improves both user experience and hospital efficiency.
- 4. Introduction Patients often struggle with long waiting times, unclear queue status, and overcrowded hospital lobbies, leading to frustration and inefficiency. The Smart Queue Management System solves this by allowing users to regester online, select a hospital, and join a queue digitally. It provides real-time queue tracking, estimated wait times, and instant notifications, ensuring a smoother experience. Patients can also schedule appointments and make payments online to avoid unnecessary delays. Hospitals can manage the queue and payment system while also modifying their doctors' list to enhance efficiency and improve user convenience.
- 5. Literature survey S. No Authors Title Journal Year Summary 1. John Doe, Emily Smith A Review on Digital Queue Management Systems https://www.jetir.org/view? paper=JETIR2005325 2023 The study highlights how digital queue systems enhance efficiency in hospitals by reducing waiting times and improving patient experience. 2. Robert Brown, Lisa Johnson Real-time Queue Tracking and Optimization https://ieeexplore.ieee.org/ document/10151351 2021 This research discusses the benefits of real-time queue tracking, allowing patients to monitor estimated wait times and receive timely updates. 3. Michael Lee, Sophia Adams Integration of Online Payment in Queue Systems https://www.vizitorapp.com/ blog/2024s-top-25+-queue- management-solutions-for- patients/ 2022 The paper explores the integration of online payments in queue management, ensuring a seamless and hassle-free experience for users while enhancing hospital revenue tracking.
- 6. Existing system and challenges In the traditional hospital queuing system, patients must physically visit the hospital, take a manual token, and wait in long queues for their turn.Some hospitals allow patients to book consultations via phone calls, but this method often leads to mismanagement, scheduling conflicts, and a lack of real- time updates. Challenges in Existing Systems: This system leads to overcrowding, increased patient frustration, and inefficient time management. There is no real-time tracking of queue status, making it difficult for patients to estimate their wait times. Additionally, payment processing is often handled separately, causing further delays. Hospitals also face challenges in managing patient flow and doctor availability, leading to operational inefficiencies and poor patient experience..
- 7. Proposed System Patients can join the queue online, track their position in real time, and schedule appointments with live availability updates. The system provides real-time queue status updates and estimated wait times, ensuring transparency. An integrated online payment system allows patients to complete payments before joining the queue for a seamless experience. Automated SMS, email, and push notifications keep patients informed about their queue status and appointment reminders. Additionally, a centralized dashboard enables hospitals to efficiently manage queues, payments, and doctor availability, streamlining operations and improving patient experience.
- 8. Objectives • Provide real-time updates on queue status, estimated wait times, and notifications. • Enable patients to book consultations online, avoiding phone call mismanagement. • Ensure smooth and secure online transactions before joining the queue. • Allow users to select from multiple hospitals based on availability and preferences. •Provide real-time updates on queue status, estimated wait times, and notifications.
- 9. Architecture
- 10. Conclusion: The Smart Queue Management System enhances hospital efficiency by digitizing queue management, appointment scheduling, and payment processing. It significantly reduces patient waiting times, eliminates manual errors, and improves hospital workflow through a centralized web-based platform. With features like real-time queue tracking, online payments, and automated notifications, the system ensures a seamless and hassle-free experience for both patients and hospitals. By leveraging Spring Boot for backend, React.js for frontend, and MySQL for data management, this solution provides scalability, security, and reliability, making healthcare services more accessible and efficient.
- 11. References R. Hussain, A. Raza, and S. Rizwan, "Digital Queue Management System in Healthcare: A Smart Solution to Reduce Waiting Time", International Journal of Healthcare Technology, 2021. •This paper discusses the impact of digital queue management systems in hospitals, emphasizing how automation reduces patient waiting times and improves operational efficiency. M. Patel, K. Shah, "Real-Time Queue Optimization in Healthcare Services", IEEE Xplore, 2020. •Explores real-time queue tracking and how predictive analytics can be used to estimate wait times and optimize doctor availability. T. Nguyen, L. Brown, "Integration of Online Payment in Hospital Management Systems", Springer Health Informatics, 2022.
- 12. Thank you!