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AI in Healthcare: Automating Hospital Operations for Better Patient Care
Abstract
The integration of Artificial Intelligence (AI) into hospital systems presents a promising avenue to enhance healthcare quality and operational efficiency. Specifically, AI-driven workflow optimization leverages advanced techniques such as Artificial Neural Networks (ANN) to analyze complex clinical and administrative data, enabling improved decision-making and resource management. This integration addresses critical challenges faced by hospitals, including increasing patient loads, data complexity, and the need for timely diagnosis and treatment. By automating routine tasks, predicting patient influx, and supporting personalized care, AI systems streamline workflows, reduce costs, and improve patient outcomes. This study explores the potential of AI, particularly ANN models, in optimizing hospital operations, emphasizing their role in creating smarter, more adaptive healthcare environments Keywords: AI Integration, Workflow Optimization, Hospitals, Artificial Neural Networks, Healthcare Automation
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