Artificial Intelligence as an Innovation Tool in Hospital Management: a Study Based on the SDGs

Objective: To analyze recent advances in the implementation of artificial intelligence (AI) in hospital management, highlighting its benefits, challenges, and future prospects. Theoretical Framework: Artificial intelligence (AI) has revolutionized hospital management, driven by machine learning, robotics, and intelligent decision-making systems. These advances have enabled tools that optimize administrative and clinical processes, improving the use of hospital resources and the quality of patient care. Method: The methodology used was an exhaustive bibliographic review, using academic sources and relevant studies published between 2020 and 2024. The databases consulted include PubMed, Scopus, and ScienceDirect. Results and Discussion: The findings show that artificial intelligence has transformed hospital management by improving operational efficiency and the quality of patient care. Applications such as electronic medical record management, predictive algorithms to optimize resource allocation, and AI-assisted telemedicine have enabled a more efficient distribution of resources and a reduction in waiting times. Research Implications: It is highlighted that, although AI offers great potential to improve hospital management and contribute to sustainability, its implementation must be carefully planned to address technical and ethical challenges. It is crucial to promote staff training and establish clear regulatory frameworks that ensure equitable and responsible use of AI. Originality/Value: The study offers a comprehensive view of recent advances in artificial intelligence in hospital management. Its originality lies in the exploration of how AI optimizes both administrative and clinical processes, ensuring and promoting healthy lives for all (SDG:3).