Utilizing AI to Optimize Hospital Resource Allocation During Health Crises

Abstract

In the face of health crises, efficient hospital resource allocation is crucial to ensure the delivery of high-quality healthcare services. Artificial intelligence (AI) has emerged as a promising tool for improving the management of hospital resources such as medical personnel, equipment, and space during such events. This paper explores the use of AI algorithms to optimize hospital resource allocation during health crises, focusing on case studies and methodologies that have been successfully implemented in real-world scenarios. The paper highlights the benefits of AI in forecasting patient influx, automating resource distribution, and enhancing decision-making processes. A comparative analysis of AI-based solutions versus traditional methods is provided, followed by an examination of the challenges and opportunities that AI presents in the realm of healthcare resource management.