Artificial intelligence in the hospital setting: Uses, benefits and limitations.
DOI:
https://doi.org/10.52611/confluencia.2026.1486Keywords:
Artificial intelligence, Technology assessment biomedical, Hospital care, Health managementAbstract
Introduction: The advancement of artificial intelligence has driven its integration into various areas, with a particular focus on the healthcare sector. Objective: This review aims to analyze the scientific literature on the uses of artificial intelligence in a hospital setting, evaluating its uses, benefits, and limitations to optimize health care and management processes, with the goal of improving the quality and efficiency of the service. Methodology: A search of scientific articles, mainly literature reviews, qualitative and quantitative articles, was conducted using search engines such as PubMed and Web of Science using the PRISMA methodology, focusing on hospital settings. 20 articles were selected. Result: The studies identify key artificial intelligence applications in hospitals, such as personalized care, report generation, monitoring, image analysis, and task automation. Among its benefits are early detection, increased safety and efficiency, personalized treatments, and reduced workload. However, they face resistance from the team, lack of training, ethical challenges, high costs, data dependency, and the risk of dehumanizing care. Discussion: Artificial intelligence has emerged as an innovative tool in healthcare in various areas, improving diagnoses, response times, and clinical processes. Despite this, it faces limitations in its adoption, which requires professionals to integrate digital competencies and emerging technologies. Conclusion: The study identified contributions of artificial intelligence to clinical care, such as diagnostic improvement and efficiency, along with ethical challenges and scarce evidence in the Chilean context. It is suggested to explore clinical perceptions and develop ethical frameworks.
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