Enhancing Cancer Patient Flow with AI

Abstract

Efficient management of patient flow is crucial in oncology care, where delays can significantly impact treatment outcomes and patient quality of life. Traditional methods face challenges such as overcrowded facilities, resource constraints, and fragmented information systems.This paper explores the transformative potential of artificial intelligence (AI) in optimizing patient flow through advanced scheduling, real-time tracking, and resource allocation. By synthesizing current literature and integrating insights from operations research and management science, the study highlights both the successes and ongoing challenges in implementing AI solutions. Key findings include improved scheduling efficiency, enhanced resource management, and reduced wait times. The paper concludes with recommendations for future research and strategies to further integrate AI into oncology practice, aiming to enhance patient care and operational efficiency.

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