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Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol

Background: Artificial intelligence (AI) techniques and methodologies for problem solving are emerging as formal tools essential to assist in nursing care. Given their potential to improve workflows and to guide decision making, several studies have been developed; however, little is known about the...

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Autores principales: Fernandes, Filipe, Santos, Paulo, Sá, Luís, Neves, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844284/
https://www.ncbi.nlm.nih.gov/pubmed/36648981
http://dx.doi.org/10.3390/nursrep13010007
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author Fernandes, Filipe
Santos, Paulo
Sá, Luís
Neves, José
author_facet Fernandes, Filipe
Santos, Paulo
Sá, Luís
Neves, José
author_sort Fernandes, Filipe
collection PubMed
description Background: Artificial intelligence (AI) techniques and methodologies for problem solving are emerging as formal tools essential to assist in nursing care. Given their potential to improve workflows and to guide decision making, several studies have been developed; however, little is known about their impact, particularly on decision making. Objective: The aim of this study was to map the existing research on the use of AI in decision making in nursing. With this review protocol, we aimed to map the existing research on the use of AI in nursing decision making. Methods: A scoping review was conducted following the framework proposed by the Joanna Briggs Institute (JBI). The search strategy was tailored to each database/repository to identify relevant studies. The contained articles were the targets of the data extraction, which was conducted by two independent researchers. In the event of discrepancies, a third researcher was consulted. Results: This review included quantitative, qualitative and mixed method studies. Primary studies, systematic reviews, dissertations, opinion texts and gray literature were considered according to the three steps that the JBI has defined for scoping reviews. Conclusions: This scoping review synthesized knowledge that could help advance new scientific developments and find significant and valuable outcomes for patients, caregivers and leaders in decision making. This review was also intended to encourage the development of research lines that may be useful for the development of AI tools for decision making.
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spelling pubmed-98442842023-01-18 Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol Fernandes, Filipe Santos, Paulo Sá, Luís Neves, José Nurs Rep Protocol Background: Artificial intelligence (AI) techniques and methodologies for problem solving are emerging as formal tools essential to assist in nursing care. Given their potential to improve workflows and to guide decision making, several studies have been developed; however, little is known about their impact, particularly on decision making. Objective: The aim of this study was to map the existing research on the use of AI in decision making in nursing. With this review protocol, we aimed to map the existing research on the use of AI in nursing decision making. Methods: A scoping review was conducted following the framework proposed by the Joanna Briggs Institute (JBI). The search strategy was tailored to each database/repository to identify relevant studies. The contained articles were the targets of the data extraction, which was conducted by two independent researchers. In the event of discrepancies, a third researcher was consulted. Results: This review included quantitative, qualitative and mixed method studies. Primary studies, systematic reviews, dissertations, opinion texts and gray literature were considered according to the three steps that the JBI has defined for scoping reviews. Conclusions: This scoping review synthesized knowledge that could help advance new scientific developments and find significant and valuable outcomes for patients, caregivers and leaders in decision making. This review was also intended to encourage the development of research lines that may be useful for the development of AI tools for decision making. MDPI 2023-01-06 /pmc/articles/PMC9844284/ /pubmed/36648981 http://dx.doi.org/10.3390/nursrep13010007 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Fernandes, Filipe
Santos, Paulo
Sá, Luís
Neves, José
Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title_full Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title_fullStr Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title_full_unstemmed Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title_short Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol
title_sort contributions of artificial intelligence to decision making in nursing: a scoping review protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844284/
https://www.ncbi.nlm.nih.gov/pubmed/36648981
http://dx.doi.org/10.3390/nursrep13010007
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