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Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review
BACKGROUND: It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital health technologies may influence the relationship...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193433/ https://www.ncbi.nlm.nih.gov/pubmed/32297873 http://dx.doi.org/10.2196/17490 |
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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: It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital health technologies may influence the relationship between nurses and patients. OBJECTIVE: The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence–driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized. RESULTS: Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020. CONCLUSIONS: A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses’ delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17490 |
format | Online Article Text |
id | pubmed-7193433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-71934332020-05-05 Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review Buchanan, Christine Howitt, M Lyndsay Wilson, Rita Booth, Richard G Risling, Tracie Bamford, Megan JMIR Res Protoc Protocol BACKGROUND: It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital health technologies may influence the relationship between nurses and patients. OBJECTIVE: The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence–driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond. METHODS: Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized. RESULTS: Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020. CONCLUSIONS: A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses’ delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17490 JMIR Publications 2020-04-16 /pmc/articles/PMC7193433/ /pubmed/32297873 http://dx.doi.org/10.2196/17490 Text en ©Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.04.2020. 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 JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Buchanan, Christine Howitt, M Lyndsay Wilson, Rita Booth, Richard G Risling, Tracie Bamford, Megan Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title | Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title_full | Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title_fullStr | Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title_full_unstemmed | Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title_short | Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review |
title_sort | nursing in the age of artificial intelligence: protocol for a scoping review |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193433/ https://www.ncbi.nlm.nih.gov/pubmed/32297873 http://dx.doi.org/10.2196/17490 |
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