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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57961
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
- 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
Publication Date
3/22/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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