Artificial Intelligence in Health Professions Regulation: An Exploratory Qualitative Study of Nurse Regulators in Three Jurisdictions
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Nurses' readiness to embrace AI is coupled with a call for comprehensive training.
“Their readiness to embrace AI is coupled with a call for comprehensive training, highlighting their commitment to ensuring a seamless integration that leverages AI's benefits [40].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [40]
Participants were committed to ethical and responsible AI utilization, resonating with findings on addressing ethical and legal ramifications in AI integration.
“In terms of this, the participants' unwavering commitment to ethical and responsible AI utilization resonates with findings from studies highlighting the significance of addressing ethical and legal ramifications in the integration of AI [40].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [40]
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- Authors
- van der Gaag, A., Jago, R., Gallagher, A., Stathis, K., Webster, M., & Austin, Z.
- Affiliations
- Royal Holloway University of London (GB)
- University of Toronto (CA)
- Corresponding author
- Austin, Zubin
- Venue
- Journal of Nursing Regulation
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 14
- Issue
- 2
- Pages
- 10-17
- ISSN
- 2155-8256 (ISSN-L)
- OpenAlex
- W4384936635
- Cited by
- 23
- References
- 18
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 9
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nursing Regulation (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by-nc-nd)
- Funders
- National Council of State Boards of Nursing
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Occupational and Professional Licensing Regulation
- Health Sciences › Health Professions › Health Information Management › Healthcare Regulation
- Keywords
- artificial intelligence, nursing regulation, regulatory decision-making, AI implementation barriers, algorithmic bias, accountability, public perception of AI, audit function, trend analysis, cost-effectiveness of regulation
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