Soraia Cristina de Abreu Pereira, Rosilene Alves Ferreira, João Miguel Ventura-Silva, Eduardo José Ferreira Santos, Cintia Silva Fassarella, Olga Maria Pimenta Lopes Ribeiro
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引用次数: 0
Abstract
Aim: To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions.
Background: Artificial intelligence has undergone significant advancements and shows great potential to transform nursing practice. However, this technological evolution is not without challenges, which must be identified and addressed.
Methods: A systematic mixed-methods review following the PRISMA 2020 guidelines and the methodology proposed by JBI. The search strategy was conducted in PubMed, CINAHL, Scopus, and Web of Science, including grey literature. Quantitative, qualitative, and mixed-methods studies were included, and the selection process involved screening by two independent reviewers, who assessed all studies, their methodological quality and extracted their data.
Results: From the conducted search, 11 studies were included, addressing how artificial intelligence has transformed nursing practice by optimising decision-making, task execution, and patient safety. Artificial intelligence, through predictive models and assistants such as ChatGPT, can enhance nursing management. However, challenges such as privacy concerns, resistance to change, and the need for professional training must be addressed to maximise its effectiveness.
Conclusion: Artificial intelligence has the potential to positively transform the nursing practice environment, optimising decision-making, enhancing patient safety, and improving operational efficiency, with clear benefits for professionals, patients, and healthcare institutions.
Relevance to clinical practice: This study analysed the impact of artificial intelligence on nursing, highlighting improvements in clinical decision-making, patient safety, and institutional efficiency. Despite the identified benefits, the implementation of artificial intelligence in nursing is not without challenges and risks, which must be identified and addressed to ensure safe and effective adoption.
Reporting method: The review followed the PRISMA 2020 checklist.
期刊介绍：
The Journal of Clinical Nursing (JCN) is an international, peer reviewed, scientific journal that seeks to promote the development and exchange of knowledge that is directly relevant to all spheres of nursing practice. The primary aim is to promote a high standard of clinically related scholarship which advances and supports the practice and discipline of nursing. The Journal also aims to promote the international exchange of ideas and experience that draws from the different cultures in which practice takes place. Further, JCN seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Emphasis is placed on promoting critical debate on the art and science of nursing practice.
JCN is essential reading for anyone involved in nursing practice, whether clinicians, researchers, educators, managers, policy makers, or students. The development of clinical practice and the changing patterns of inter-professional working are also central to JCN''s scope of interest. Contributions are welcomed from other health professionals on issues that have a direct impact on nursing practice.
We publish high quality papers from across the methodological spectrum that make an important and novel contribution to the field of clinical nursing (regardless of where care is provided), and which demonstrate clinical application and international relevance.
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