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

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. What is known about the topic? Nurses have reported negative impacts that AI can have when they are not included in the implementation process. What does this paper add? This scoping review has identified the extent of nursing influence on the design, development and implementation of AI. What are the implications for practitioners? There are many potential avenues of nursing research to explore such as; the impact of nurse involvement in AI, what depth of nurse involvement is needed and whether clinical immersion of developers results in improved usability, and smoother implementation of AI technologies. [ABSTRACT FROM AUTHOR]