Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals

May 2025
Vol-7, Issue-4
Paper ID: 26769
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Swarm Intelligence Adaptive Scheduling Fuzzy Logic Ant Colony Optimization (ACO) IoT-Driven Healthcare Real-Time Hospital Management AI-Powered Rescheduling Patient Flow Optimization Smart Hospitals Predictive Healthcare Analytics
Abstract
Intelligent scheduling will also be necessary to optimize the allocation of resources, minimize patient waiting times, and improve healthcare efficiency, given the increasing complexity of operations in hospitals. Traditional scheduling systems rely on static or rule-based algorithms; they therefore do not adapt to the dynamic demands of a hospital in real time but instead produce congestion and physician burnout, resulting in suboptimal patient care. Ant Colony Optimization (ACO), Internet of Things (IoT) sensor data, and AI-centric predictive rescheduling strategies were used in conjunction with Swarm Intelligence-Driven Adaptive Scheduling (SIAS) and Adaptive Fuzzy Logic-Based Real-Time Scheduling (AFL-RTS) to solve these limitations. As a result of smooth hospital operations, the findings exhibit a 20% improvement in the balance of workload, a 55% reduction in patient waiting time, and an 85% successful AI-powered rescheduling. It greatly enhances hospitals in terms of efficiency by maximizing patient flow, reducing the occurrence of scheduling conflicts, and elevating, in general, the quality of healthcare services.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Visrutatma Rao Vallu Spectrosys, Woburn, Massachusetts, USA
2 Purandhar. N Sri Venkateswara College of Engineering, Tirupathi.Andhra Pradesh., India

How to Cite

Use the following formats to cite this article in your research.

APA Style
Vallu, Visrutatma Rao & N, Purandhar. (2025). Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 2548-2558.
MLA Style
Vallu, Visrutatma Rao, and Purandhar. N. "Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2025, pp. 2548-2558.
IEEE Style
Visrutatma Rao Vallu and Purandhar. N, "Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 2548-2558, 2025.
Vancouver Style
Vallu Visrutatma Rao, N Purandhar.. Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals. International Journal of Advance Research and Innovative Ideas In Education. 2025;7(4):2548-2558.
Harvard Style
Vallu, Visrutatma Rao & N, Purandhar. (2025) 'Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 2548-2558.
Chicago Style
Vallu, Visrutatma Rao and Purandhar. N. "Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2025): 2548-2558.
Turabian Style
Vallu, Visrutatma Rao and Purandhar. N. "Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart Hospitals." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2025): 2548-2558.

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