ARTIFICIAL INTELLIGENCE IN HOSPITAL MANAGEMENT: EMOTIONAL MONITORING OF HEALTH PROFESSIONALS IN HIGH-PRESSURE ENVIRONMENTS

Abstract

The spread of artificial intelligence-based systems in the hospital field has blurred the lines between surveillance and care, particularly when algorithms begin to monitor emotions in teams subjected to high-pressure care settings. This bibliographic study examines how computational devices reorganize routines, produce new forms of psychosocial monitoring, and generate ethical implications that challenge healthcare work. By bringing together international and Brazilian literature, the study seeks to demonstrate that the promise of technological efficiency coexists with challenges of transparency, privacy, and institutional accountability. The central objective is to understand how emotional analysis and automated decision-making platforms impact the subjectivity of professionals, alter organizational dynamics, and redefine practices historically anchored in the relational dimension of care. The research mobilizes authors who discuss normative regulation, the culture of quantification, and the limits of predictive models for capturing human complexities. The results indicate that the incorporation of intelligent systems requires not only technical infrastructure but also ethical and political pacts that preserve the public meaning of health. Along this path, the need emerges to expand training repertoires, establish governance protocols, and strengthen institutional listening spaces. Artificial intelligence, if not critically contextualized, can shift from the promise of decision support to the creation of new inequalities.