Healthcare Facility

Healthcare facility research centers on optimizing resource allocation, improving patient care, and enhancing operational efficiency. Current studies leverage machine learning, particularly deep learning models like convolutional neural networks, recurrent neural networks (LSTMs, GRUs), and transformer networks, along with optimization algorithms such as genetic algorithms and ant colony optimization, to predict patient length of stay, optimize resource allocation (e.g., beds, staff, ventilators), and improve the efficiency of processes like robot navigation and cleaning protocols. These advancements have significant implications for improving patient outcomes, reducing healthcare costs, and enhancing the resilience of healthcare systems to disruptions, such as natural disasters.