IJBTT

AI-Driven Optimization of Hospital Operating Rooms
	© 2024 by IJCTT Journal
	Volume-72 Issue-10
	Year of Publication : 2024
	Authors : Suvin Seal
	DOI :  10.14445/22312803/IJCTT-V72I10P102

How to Cite?

Suvin Seal, "AI-Driven Optimization of Hospital Operating Rooms," International Journal of Computer Trends and Technology, vol. 72, no. 10, pp. 5-8, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I10P102

Abstract
Operating rooms are essential revenue sources for hospitals, and ensuring their efficient utilization is crucial for the financial well-being of healthcare organizations. Hospital administrators constantly face the challenge of balancing demand, maximizing utilization, minimizing delays, and optimizing resource allocation. This paper investigates the application of machine learning approaches to enhance hospital operating room throughput and resource management, ultimately leading to an improvement in patient throughput, reduced costs, and increased operational efficiency.

Keywords
Supervised Machine Learning, Operating Room Optimization, Healthcare Resource Management, Artificial Intelligence, Hospital Efficiency.

Reference

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