Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

Optimized Health Checkup Queue Management with Hybrid Scheduling and Real-Time Monitoring

Authors
V. Vidhya1, *, D. Jayanthi2, M. Harini Padma3, K. B. Abhishek3, L. Krithika3
1Professor & Head of Department, Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur, India
2Associate Professor, Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur, India
3UG Student, Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur, India
*Corresponding author. Email: vidhyav@svce.ac.in
Corresponding Author
V. Vidhya
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_30How to use a DOI?
Keywords
Fisher-Yates approach; First-Come-First-Serve; Queue management in healthcare; Resource optimization; Patient satisfaction
Abstract

The manual queuing system in hospitals creates extensive waiting periods, overcrowding and operational difficulties which leads to subpar medical care for patients with an inefficient hospital operation. This study introduces a complex scheduling system that combines First-Come-First Served (FCFS) and Fisher-Yates approaches. The system design specifically addresses registration mechanisms and intelligent appointment planning for patients above and below 40 years separately, for optimized resource allocation and improved patient satisfaction. An intuitive health check-up roadmap application will be integrated into this proposed system that streamlines patient navigation. This interface ensures smooth operational processes while shortening patient queues and minimizing patient facility congestion. Data demonstrates successful outcomes from the system which delivered better patient flow processes by achieving 40% shorter waiting periods and 35% faster turnaround times leading to improved patient satisfaction. The proposed system enhances the quality of the hospital by providing elevated healthcare facilities to the patients by reducing manual queue management challenges and optimal resource utilization.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_30How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - V. Vidhya
AU  - D. Jayanthi
AU  - M. Harini Padma
AU  - K. B. Abhishek
AU  - L. Krithika
PY  - 2025
DA  - 2025/07/17
TI  - Optimized Health Checkup Queue Management with Hybrid Scheduling and Real-Time Monitoring
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 367
EP  - 381
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_30
DO  - 10.2991/978-94-6463-787-8_30
ID  - Vidhya2025
ER  -