Life Slot - Emergency Ward Booking

Abstract

LifeSlot is an emergency ward booking system that assists patients and their attendants in locating hospitals with available emergency beds and booking requests. In case of emergencies patients and their attendants are usually unable to locate hospitals that have beds which leads to delay in treatment. The proposed system provides a platform where users can register, log in ,search for nearby hospitals, view emergency ward and bed availability, choose a suitable hospital and ward and submit booking requests. administrator in the hospitals can update bed. often struggle to locate hospitals that have beds, which can delay medical care. The proposed system offers a platform where users can register log in search nearby hospitals view emergency ward and bed availability choose an appropriate hospital and ward and submit a booking request. Hospital administrators can update bed availability manage bookings and keep patient and hospital records. The system comprises of user interface for patients and hospital personnel, a backend for processing requests and bookings and a database that will store information relating to hospital, ward, bed and booking information. The goal of the system is to reduce the time spent searching for emergency wards and to organize the process of emergency bed booking. The system could be devoloped using HTML, CSS and JavaScript for the frontend, a backend framework such as Node.js and Express.js and MySQL for database management system.

Introduction

LifeSlot – Emergency Ward Booking System is a centralized web-based application designed to help patients and their attendants find hospitals with available emergency ward beds and submit booking requests. Traditional methods of checking bed availability through phone calls or hospital visits are time-consuming and may delay access to healthcare facilities. LifeSlot aims to simplify this process by providing a single platform for hospital searching, bed availability checking, and emergency ward booking.

The system allows users to register, log in, search for hospitals, view available emergency ward beds, select a hospital, and submit booking requests with the required patient details. Hospital administrators can manage hospital information, update bed availability, approve or reject booking requests, and maintain patient and booking records. Users can also track their booking status and receive confirmation through the system.

LifeSlot uses a three-layer architecture consisting of the User Layer, Application Layer, and Database Layer. Node.js and Express.js handle application operations, while MySQL stores user details, hospital information, ward availability, and booking records.

Existing systems mainly depend on manual communication, hospital visits, and separate booking processes. Previous research has focused on hospital bed management, patient flow prediction, appointment scheduling, and queue management, but these approaches do not fully address centralized emergency ward availability and booking.

The proposed system aims to reduce manual effort, save time, improve communication between patients and hospitals, and make emergency ward availability information more accessible.

References

[1] L. Ren, X. Zhang, J. Wang, M. Sun, S. Tang and N. Gong, \"Design of hospital beds center management information system based on HIS\", 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017, doi: 10.1109/BIBM.2017.8217808. [2] R. El-Bouri, D. W. Eyre, P. Watkinson, T. Zhu and D. A. Clifton, \"Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care\", IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 1, pp. 289-300, 2021, doi: 10.1109/JBHI.2020.2990309. [3] K. W. Tan, C. Wang and H. C. Lau, \"Improving Patient Flow in Emergency Department Through Dynamic Priority Queue\", 2012 IEEE International Conference on Automation Science and Engineering (CASE), 2012, doi: 10.1109/CoASE.2012.6386409. [4] X. Zhang, T. Zhu and L. Luo, \"Forecasting Emergency Department Patient Flow Using Markov Chain\", 2013 10th International Conference on Service Systems and Service Management (ICSSSM), 2013, doi: 10.1109/ICSSSM.2013.6602537. [5] A. H. Odeh, R. Abdelhadi and H. Odeh, \"Medical Patient Appointments Management Using Smart Software System in UAE\", 2019 International Arab Conference on Information Technology (ACIT), 2019, doi: 10.1109/ACIT47987.2019.8991064. [6] V. Akshay, A. Kumar S., R. M. Alagappan and S. Gnanavel, \"BOOKAZOR - An Online Appointment Booking System\", 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019, doi: 10.1109/ViTECoN.2019.8899460. [7] S. Soman, S. Rai, P. Ranjan, A. S. Cheema and P. K. Srivastava, \"Mobile-Augmented Smart Queue Management System for Hospitals\", 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020, doi: 10.1109/CBMS49503.2020.00086. [8] R. Suryavanshi, S. Kaushik, D. Dev and Ruchit, \"An Automated Model for Booking Appointment in Health Care Sector\", 2021 International Conference on Technological Advancements and Innovations (ICTAI), 2021, doi: 10.1109/ICTAI53825.2021.9673206. [9] N.S. Musa, S.H. Rafique and E. Mathew, \"Hospital Scheduling Systems: Current Challenges and Emerging Solutions\", 2024 Global Digital Health Knowledge Exchange & Empowerment Conference (gDigiHealth.KEE), Abu...u Dhabi, UAE, 2024, pp. 1 to 9, doi: 10.1109/gDigiHealth.KEE62309.2024.10761758. [10] S. Maddhi, R. Dodda, S. Veeresh Kumar, K. Guru Raghavendra Reddy and B. N. Siva Rama Krishna, \"SmartHealth: A Next Generation Healthcare System for Efficient Patient Care Access\", 2024 International Conference on Sustainable Communication Networks and Applications (ICSCNA), 2024, doi: 10.1109/ICSCNA63714.2024.10864170.

Copyright

Copyright © 2026 Pavithran T, Mithun R, Naveen Kumar V, Sasi Krishnan G, Ramkishore M, Sanjay P, K. Sundara Velrani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.