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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Influence of nurses in the implementation of artificial intelligence in health care: a scoping review

Adele Sodeau A * and Amanda Fox B
+ Author Affiliations
- Author Affiliations

A Queensland Health, Queensland University of Technology, Cairns Base Hospital, 165 Esplanade, Cairns North, Qld 4870, Australia.

B Queensland Health, Queensland University of Technology, Kelvin Grove Campus, Victoria Park Road, Kelvin Grove, Brisbane, Qld 4059, Australia.

* Correspondence to: adele.sodeau@health.qld.gov.au

Australian Health Review 46(6) 736-741 https://doi.org/10.1071/AH22164
Submitted: 20 May 2022  Accepted: 3 October 2022   Published: 9 November 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA.

Abstract

Objective This scoping review maps the approach undertaken by nurses to influence the implementation of artificial intelligence in health care. It also provides evidence of how frequently nurses drive the implementation of artificial intelligence, and how often nurses collaborate within the technical team.

Methods A systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was undertaken from 24 July to 22 August 2020 to identify six records that met the inclusion criteria.

Results Nurses influenced the implementation of artificial intelligence in health care by: problem solving; articulating contextual needs and priorities; providing real-world insight and solutions; providing examples of implementation; and determining end user satisfaction. There was one instance of nurses driving implementation, and four instances of nurses collaborating with a technical team approach.

Conclusion The expertise of nurses must be sought to ensure artificial intelligence can effectively meet the highly context-specific demands of the healthcare environment.

Keywords: algorithms, artificial intelligence, implementation, influence, involvement, nurse, robotics, technology.


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