Inteligência artificial com ferramenta na gestão em saúde: revisão integrativa

Abstract

Artificial Intelligence (AI) has become a strategic axis in the health sector, showing potential to improve operational efficiency, optimize care, and reorganize workflows in the management of health services. However, its incorporation is still permeated by ethical, regulatory, and professional training challenges, which highlights the need to systematize the available scientific evidence. This study aimed to conduct a survey of artificial intelligence tools used in the management of health services, describing their applications, benefits, and challenges. This is an integrative literature review, conducted according to the methodological framework of Mendes, Silveira, and Galvão (2008), developed in six stages. The search was carried out in the PubMed and LILACS databases, through the Capes Periodicals Portal, in November 2025, using the Population, Concept, and Context (PCC) strategy. Initially, 5,000 records were identified. After removing duplicates and applying the eligibility criteria, the titles, abstracts, and full texts were screened, resulting in the inclusion of 11 studies in the final sample. The studies analyzed showed that AI has been used mainly to support decision-making processes, strategic planning, resource allocation, and performance monitoring, with positive repercussions on the efficiency and quality of health service management. It is concluded that Artificial Intelligence has high potential to improve decision-making in health management. However, multifactorial challenges persist that limit its practical application, revealing a gap between the recognition of the technology's relevance and its effective implementation. The development of structured action plans, aligned with ethical principles, adequate regulation, and continuous professional training strategies, is recommended.