Keywords
Nursing
Artificial Intelligence
How to Cite
Copyright © | All rights reserved.
The journal holds the exclusive copyright for the publication of this article under the terms of Brazilian law 9610/98.
Partial reproduction
The use of parts of the texts, figures and questionnaire of the article is free, being mandatory the citation of the authors and journal.
Total reproduction
It is expressly prohibited and must be authorized by the journal.
Abstract
Objective: To map the use of Artificial Intelligence (AI) in nursing care practice. Method: This is an integrative review guided by the research question: How has AI been used in nursing care? The literature search was conducted in September 2024 using the main health science databases. Results: Seven studies published in the last five years were selected. The evidence highlights various AI applications, including clinical data management, clinical decision support, task automation, improved documentation, and enhanced financial efficiency. The “Laura Robot” system was notably cited as a promising tool for the early detection of sepsis. In addition, the studies addressed critical challenges, such as ethical concerns, data privacy and security, and the ongoing need for human supervision to ensure proper and safe implementation. Conclusion: AI shows great potential for optimizing nursing care by enhancing efficiency and supporting clinical decisions. However, its use remains limited in high-risk situations, such as emergencies where immediate human response is essential.
References
ALAMI H, et al. Artificial intelligence and health technology assessment: anticipating a new level of complexity. J Med Internet Res., 2020; 22(7).
CLAVELLE JT, et al. Leveraging technology to sustain extraordinary care: a qualitative analysis of meaningful nurse recognition. J Nurs Adm., 2019; 49(6): 303-309.
DELPINO FM, et al. Emergency department use an Artificial Intelligence inPelotas: design and baseline results. Revista Brasileira de Epidemiologia, 2023; 26(230021): 1-8.
DE SOUSA MNA, et al. Saúde na palma da mão: o potencial dos aplicativos móveis no manejo e na prevenção de doenças crônicas não transmissíveis. UNILUS Ensino e Pesquisa. 2025; 21(64): 15-25.
ERCOLE FF, et al. Revisão Integrativa versus Revisão Sistemática. Revista Mineira de Enfermagem, 2014; 18(1): 1-26.
GAWANDE MS, et al. The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development. Molecular Biomedicine, 2025; 6(1): 1.
GONÇALVES LS, et al. Implementação de algoritmo de inteligência artificial para detecção de sepse. Rev Bras Enferm., 2020; 73(3).
HIGGINS O, et al. Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: an integrative review. Int. J. Ment. Health Nurs., 2023; 32(4): 966-978.
LEE D, YOON SN. Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int J Environ Res Public Health, 2021; 18(1): 271.
LEITE AAF, et al. Perspectiva do uso da inteligência artificial nos cuidados prestados pela enfermagem. Revista Eletrônica Acervo Saúde, 2025; 25(6): e20859.
MACHADO MC. Aplicativo para avaliação clínica do enfermeiro em paciente crítico. Curitiba, 2019.
OTT T, et al. Palliative care and new technologies. The use of smart sensor technologies and its impact on the Total Care principle. BMC palliative care, 2023; 22(1): 50.
RONQUILLO CE, et al. Artificial intelligence in nursing: priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of advanced nursing, 2021; 77(9): 3707-3717.
SASSO GTMD, et al. Potencial apoio de aplicação do ChatGPT® na sensação de choque séptico em cuidados intensivos. Texto Contexto Enferm., 2024.
SILVA AX, et al. Proposta de um protótipo de aplicativo Android para diagnósticos de enfermagem utilizando redes neurais artificiais. RV. Cuba Enferm., 2020; 36: 2.
SOUZA CS. Transformação digital em enfermagem perioperatória. Enferm Foco, 2024; 15: 1-4.
STEIN MB, JONES-SENCK J. O futuro da enfermagem: navegando na revolução da IA por meio da educação e do treinamento. J Contin Educ Nurs., 2024; 55(3): 108-9.
TOLEDO LV, et al. Inteligência artificial para a predição do tempo de banho no leito em Unididades de Terapia Intensiva. Revista Brasileira de Enfermagem, 2024; 77: 1.
VASQUEZ BA, et al., Máquinas tecnológicas e inteligência artificial na prática de enfermagem. Nurs Health Sci., 2023; 25(3): 474-81.
VON GERICH H, et al. Artificial intelligence-based technologies in nursing: a scoping literature review of the evidence. Int J Nurs Stud., 2022.
WALDOW VR, GÉRMAN-BÉS C. Tecnologías Avanzadas e Inteligencia Artificial: reflexión sobre desarrollo, tendencias e implicaciones para la Enfermería. Index Enferm., 2020; 29(3).
WATSON D, et al. Ascensão dos robôs: a inteligência artificial é amiga ou inimiga da prática de enfermagem? Crit Care Nurs Q., 2020; 43(3).