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Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review

BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compass...

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Autores principales: Buchanan, Christine, Howitt, M Lyndsay, Wilson, Rita, Booth, Richard G, Risling, Tracie, Bamford, Megan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373374/
https://www.ncbi.nlm.nih.gov/pubmed/34406963
http://dx.doi.org/10.2196/23939
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author Buchanan, Christine
Howitt, M Lyndsay
Wilson, Rita
Booth, Richard G
Risling, Tracie
Bamford, Megan
author_facet Buchanan, Christine
Howitt, M Lyndsay
Wilson, Rita
Booth, Richard G
Risling, Tracie
Bamford, Megan
author_sort Buchanan, Christine
collection PubMed
description BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. OBJECTIVE: This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. RESULTS: A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. CONCLUSIONS: Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/17490
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spelling pubmed-83733742021-08-24 Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review Buchanan, Christine Howitt, M Lyndsay Wilson, Rita Booth, Richard G Risling, Tracie Bamford, Megan JMIR Nurs Review BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. OBJECTIVE: This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. RESULTS: A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. CONCLUSIONS: Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/17490 JMIR Publications 2020-12-17 /pmc/articles/PMC8373374/ /pubmed/34406963 http://dx.doi.org/10.2196/23939 Text en ©Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford. Originally published in JMIR Nursing Informatics (https://nursing.jmir.org), 17.12.2020. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Buchanan, Christine
Howitt, M Lyndsay
Wilson, Rita
Booth, Richard G
Risling, Tracie
Bamford, Megan
Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title_full Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title_fullStr Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title_full_unstemmed Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title_short Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review
title_sort predicted influences of artificial intelligence on the domains of nursing: scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373374/
https://www.ncbi.nlm.nih.gov/pubmed/34406963
http://dx.doi.org/10.2196/23939
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