Contributions of artificial intelligence to decision making in nursing: a scoping review protocol

Detalhes bibliográficos
Autor(a) principal: Fernandes, Filipe
Data de Publicação: 2023
Outros Autores: Santos, Paulo, Sá, Luís, Neves, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/40046
Resumo: 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 Contributions of artificial intelligence to decision making in nursing: a scoping review protocolNursingArtificial intelligenceDecision makingProtocol reviewBackground: 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.Veritati - Repositório Institucional da Universidade Católica PortuguesaFernandes, FilipeSantos, PauloSá, LuísNeves, José2023-01-30T11:01:37Z2023-01-062023-01-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/40046eng2039-439X10.3390/nursrep1301000785151076019PMC984428436648981000959519800001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-12T17:45:35Zoai:repositorio.ucp.pt:10400.14/40046Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:32:48.132126Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv 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
spellingShingle Contributions of artificial intelligence to decision making in nursing: a scoping review protocol
Fernandes, Filipe
Nursing
Artificial intelligence
Decision making
Protocol review
title_short 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_sort Contributions of artificial intelligence to decision making in nursing: a scoping review protocol
author Fernandes, Filipe
author_facet Fernandes, Filipe
Santos, Paulo
Sá, Luís
Neves, José
author_role author
author2 Santos, Paulo
Sá, Luís
Neves, José
author2_role author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Fernandes, Filipe
Santos, Paulo
Sá, Luís
Neves, José
dc.subject.por.fl_str_mv Nursing
Artificial intelligence
Decision making
Protocol review
topic Nursing
Artificial intelligence
Decision making
Protocol review
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.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-30T11:01:37Z
2023-01-06
2023-01-06T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/40046
url http://hdl.handle.net/10400.14/40046
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2039-439X
10.3390/nursrep13010007
85151076019
PMC9844284
36648981
000959519800001
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