Artificial intelligence (AI) increasingly transformed hospital management practices by strengthening administrative decision-making, improving operational efficiency, and optimizing resource utilization. This study examined the extent and role of AI adoption in hospital management and analysed its impact on managerial decision-making, workflow efficiency, and resource utilization. It further assessed the perceptions, readiness, and acceptance of hospital administrators and healthcare professionals toward AI-enabled management practices. Additionally, the study evaluated the influence of AI-driven hospital management systems on operational performance, cost efficiency, and service quality, and proposed an integrated socio-technical framework explaining how AI was reshaping contemporary hospital management and healthcare delivery. A descriptive and exploratory research design was adopted to capture both the level of AI adoption and its perceived impact on hospital performance outcomes. The study employed a quantitative approach and collected primary data from 250 hospital management professionals drawn from public, private, trust-based, and corporate hospitals using convenience sampling. Data were collected through a structured questionnaire based on a five-point Likert scale and were analysed using appropriate statistical techniques. Secondary data from peer-reviewed journals, academic books, and credible reports strengthened the theoretical foundation. The findings indicated moderate to high AI adoption, with positive effects on decision-making, workflow efficiency, resource utilization, cost efficiency, and service quality. Despite favourable organizational readiness, variations in perceptions highlighted the need for continuous training and change management. Overall, the study concluded that AI-enabled hospital management systems mattered.