Inteligência Artificial na Sala de Recuperação Pós-Anestésica: Uma Revisão Sistemática sobre o Impacto na Segurança do Paciente

• DOI: https://doi.org/10.22533/at.ed.1612516108

• Palavras-chave: Inteligência Artificial; Segurança do Paciente; Sala de Recuperação Pós-Anestésica; Enfermagem; Revisão Sistemática.

• Keywords: Artificial Intelligence; Patient Safety; Post-Anesthesia Care Unit; Nursing; Systematic Review.

• Abstract: Introduction: Patient safety in the Post-Anesthesia Recovery Room (PACU) is a critical pillar of perioperative care. Artificial Intelligence (AI) has emerged as a promising technology to enhance monitoring, decision-making, and risk management in this environment.Objective: To analyze and synthesize the scientific evidence published between 2020 and 2025 regarding the impact of AI on patient safety in the PACU.Methods: A systematic review of the literature was conducted using the PubMed, SciELO, Scopus, and Web of Science databases, utilizing descriptors and terms such as Artificial Intelligence, Patient Safety, Post-Anesthesia Recovery Unit, and Nursing. Studies published between 2020 and 2025 were included. The quality assessment of the articles was conducted independently by two reviewers.Results: Ten eligible studies were identified and grouped into thematic categories, such as predictive monitoring, adverse event detection, and clinical decision support. The results show that AI can significantly enhance patient safety in the PACU, particularly in preventing complications such as hypotension, hypoxemia, and delays in detecting clinical deterioration. However, challenges related to validation in real-world settings, ethical issues, and acceptance by nursing professionals were noted.Conclusions: AI holds considerable potential to improve patient safety in the PACU. While there are clear benefits, its integration into clinical practice requires a cautious approach, focusing on rigorous validation of systems and training for the nursing team.