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Artificial intelligence in supporting the implementation of the nursing process: a scoping review
Alan Mariz Gomes1, Laise Batista Dantas1, Maura Moreira Silva Sobreira1
1Universidade do Estado do Rio Grande do Norte, Departamento de Enfermagem - Caicó, RN, Brasil.
Objective:
To identify scientific advances related to the use of Artificial Intelligence (AI) in supporting the implementation of the Nursing Process.
Method:
Scoping review developed according to the Joanna Briggs Institute (JBI) methodological guidelines and registered on the International Open Science Framework platform. The search was conducted in the Scopus, Virtual Health Library (BVS), SciELO, and PubMed databases between February and March 2024. Data analysis followed a descriptive approach, with thematic categorization and narrative synthesis.
Results:
Thirteen scientific studies were included, revealing significant advances in the application of AI to nursing practice. Contributions were highlighted in four main thematic categories, aligned with the stages of the Nursing Process: support for documentation and records - assessment/evaluation; support for diagnostic inference - diagnosis; prediction of adverse events - planning; and qualification and personalization of care - intervention. Additionally, two cross-cutting categories emerged in support of the implementation of the Nursing Process: professional education and training, and the integration of AI into the work process.
Conclusion:
Artificial Intelligence is a promising ally in the implementation of the Nursing Process, provided its incorporation is accompanied by technical training, ethical regulation, and active engagement of professionals.
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