Influence of nurses in the implementation of artificial intelligence in health care: a scoping review
Open accessAbstract
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.
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With most international research centered on the US, the applicability to German healthcare is uncertain.
“With most international research centered on the US, the applicability to German healthcare is uncertain [18].”
From Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany (2024) · cites this paper as [18]
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- Authors
- Sodeau, A., & Fox, A.
- Affiliations
- Queensland Health (AU)
- Corresponding author
- Sodeau, Adele
- ORCID
- Fox, Amanda
- Venue
- Australian Health Review
- Publisher
- CSIRO Publishing
- Published
- 2022-11-09
- Volume
- 46
- Issue
- 6
- Pages
- 736-741
- ISSN
- 0156-5788 (ISSN-L)
- 1449-8944
- OpenAlex
- W4308637885
- Cited by
- 12
- References
- 23
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3
- FWCI
- 0.68
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.qut.edu.au
- Licence
- Locations
- Australian Health Review (publishedVersion)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, nurses, user satisfaction, problem solving, nursing expertise
- MeSH terms
- Artificial Intelligence, Delivery of Health Care, Humans
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