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To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions.
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.
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.
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.
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.
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.
The review followed the PRISMA 2020 checklist.
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