Inteligencia Artificial en la gestión de los servicios de salud: Estado actual y perspectivas futuras.

Abstract

Healthcare systems face growing challenges due to increased demand for care, population aging, and resource scarcity. Consequently, artificial intelligence (AI) emerges as a key tool to optimize healthcare service management, enhancing operational efficiency and care quality. Objective: To analyze the use of Artificial Intelligence as a tool in healthcare service management.. Methodology: A descriptive study with a quantitative approach, non-experimental and retrospective design, and literature review was conducted. A search for articles published between 2019 and 2025 was performed in databases such as PubMed and Scopus, using terms like ""Artificial Intelligence,"" ""Healthcare Service Management,"" ""Healthcare Service Administration,"" ""Machine Learning,"" ""Organizational Efficiency,"" ""Cost Control,"" and ""Decision Making."" Using the PICO methodology, 22 articles were selected. Results: Artificial intelligence optimizes resources with accuracies ranging from 88.7% to 100%, reduces costs by up to 59%, and improves operational efficiency (AUC 0.82-0.90). It stands out for its ability to anticipate demands and manage personnel, although prior training is required for its adoption. Conclusion: AI strengthens healthcare systems by improving resource and process management, enhancing care quality and sustainability, provided it is supported by adequate infrastructure and training. Key words: Artificial Intelligence; Healthcare Service Administration; Machine Learning; Organizational Efficiency; Cost Control; Decision Making.