Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol.
artificial intelligence
decision making
nursing
protocol review
Journal
Nursing reports (Pavia, Italy)
ISSN: 2039-4403
Titre abrégé: Nurs Rep
Pays: Switzerland
ID NLM: 101592662
Informations de publication
Date de publication:
06 Jan 2023
06 Jan 2023
Historique:
received:
22
11
2022
revised:
29
12
2022
accepted:
03
01
2023
entrez:
17
1
2023
pubmed:
18
1
2023
medline:
18
1
2023
Statut:
epublish
Résumé
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. 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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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
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.
Identifiants
pubmed: 36648981
pii: nursrep13010007
doi: 10.3390/nursrep13010007
pmc: PMC9844284
doi:
Types de publication
Journal Article
Langues
eng
Pagination
67-72Références
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