Artificial Intelligence in Hospital Management and Healthcare Quality Improvement Artificial intelligence is no longer limited to medical diagnosis; it now plays a vital role in hospital operations and management. Modern healthcare institutions rely on data analytics to improve operational efficiency and service quality. Predictive models estimate patient admission rates, supporting effective bed management and reducing waiting times. Intelligent scheduling algorithms optimize staff allocation, ensuring balanced workloads and minimizing burnout. Predictive analytics also identifies patients at high risk of readmission, enabling targeted follow-up care and cost reduction. AI-driven systems support medical inventory management, forecasting medication shortages, and optimizing supply chains. From a patient experience perspective, AI chatbots assist with appointment scheduling and inquiries, while sentiment analysis tools evaluate patient feedback to enhance service quality. This digital transformation reduces operational costs, minimizes administrative errors, and strengthens decision-making processes. However, its success depends on robust digital infrastructure, system integration, and strong data security measures. Artificial intelligence serves as a strategic tool for transforming hospital management into a data-driven, intelligent model focused on quality, sustainability, and improved patient outcomes.