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. 2020 Apr 16;9(4):e17490.
doi: 10.2196/17490.

Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review

Christine Buchanan  1 , M Lyndsay Howitt  1 , Rita Wilson  1 , Richard G Booth  2 , Tracie Risling  3 , Megan Bamford  1
Affiliations

Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review

Christine Buchanan et al. JMIR Res Protoc. .

Abstract

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.

Keywords: artificial intelligence; compassionate care; machine learning; nursing; robotics; scoping review.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Main concepts explored in the review.
See this image and copyright information in PMC

References

    1. Lexico Lexico US Dictionary. 2019. [2019-11-19]. Definition of artificial intelligence in English https://www.lexico.com/en/definition/artificial_intelligence.
    1. Robert N How artificial intelligence is changing nursing. Nurs Manage. 2019 Sep;50(9):30–39. doi: 10.1097/01.NUMA.0000581404.86147.ac. - DOI - PMC - PubMed
    1. Associated Medical Services Healthcare 2018. [2019-11-12]. Compassion in a technological world: advancing AMS' strategic aims http://www.ams-inc.on.ca/wp-content/uploads/2019/01/Compassion-in-a-Tech....
    1. Zlotnik A, Alfaro MC, Pérez MCP, Gallardo-Antolín A, Martínez JMM. Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables. Comput Inform Nurs. 2016 May;34(5):224–30. doi: 10.1097/CIN.0000000000000230. - DOI - PubMed
    1. Liao P, Hsu P, Chu W, Chu W. Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan. Health Informatics J. 2015 Jun;21(2):137–48. doi: 10.1177/1460458213509806. - DOI - PubMed

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