Artificial intelligence and nursing: it’s all about trust
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Necessary oversight is maintained for complex scenarios when using GenAI.
“while maintaining necessary oversight for complex scenarios (Hallas, 2023; Kaneda et al., 2023; Luo et al., 2023; Ni et al., 2024).”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Hallas, 2023
In “Artificial Intelligence and Nursing: It’s All About Trust” (page unavailable), Hallas calls for clinicians, educators, and researchers to address concerns about ChatGPT-generated clinical recommendations and says authors must take responsibility for AI-assisted manuscripts. This supports the need for human oversight, but the paper does not specifically discuss oversight for complex scenarios or establish that it is maintained. (LLM, conf=0.83)
Experimental — accuracy not yet measuredNewer GenAI versions demonstrated improved accuracy rates across multiple studies.
“Newer GenAI versions demonstrated improved accuracy rates across multiple studies”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Hallas, 2023
The main text (page unavailable) discusses ChatGPT’s inaccurate references and describes earlier machine-learning studies, but does not compare newer GenAI versions with older ones or report accuracy rates across studies. Searches for improved accuracy in successive versions found no passage addressing that claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
The ChatGPT Storm and What Faculty Can Do
Sun, G. H., & Hoelscher, S. H. (2023) · Nurse Educator · doi:10.1097/nne.0000000000001390 · Cited by 263 · see citing works
Social Robots for Hospitalized Children
Logan, D. E., Breazeal, C., Goodwin, M. S., Jeong, S., O’Connell, B., Smith-Freedman, D., Heathers, J., & Weinstock, P. (2019) · Pediatrics · doi:10.1542/peds.2018-1511 · Cited by 147 · see citing works
An ensemble boosting model for predicting transfer to the pediatric intensive care unit
Rubin, J., Potes, C., Xu-Wilson, M., et al. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.01.001 · Cited by 52 · see citing works
Klann, J. G., Anand, V., & Downs, S. M. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001865 · Cited by 27 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Elsevier Manager. (2023). Journal of Pediatric Health Care. https:// www.jpedhc.org/content/authorinfo.
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Gunawan, J., Aungsuroch, Y., & Montayre, J. (2024) · Nurse Education Today · doi:10.1016/j.nedt.2024.106323 · Cited by 90 · see citing works
Amankwaa, I., Ekpor, E., Cudjoe, D., Kobiah, E., Fuseini, A.-K. J., Diebieri, M., Gyamfi, S., & Brownie, S. (2025) · Nurse Education Today · doi:10.1016/j.nedt.2025.106822 · Cited by 20 · see citing works
- Authors
- Hallas, D.
- Affiliations
- New York University (US)
- Corresponding author
- Hallas, Donna
- ORCID
- Hallas, Donna
- Venue
- Journal of Pediatric Health Care
- Publisher
- Elsevier BV
- Published
- 2023-09
- Volume
- 37
- Issue
- 5
- Pages
- 461-462
- ISSN
- 0891-5245 (ISSN-L)
- OpenAlex
- W4386263529
- Cited by
- 12
- References
- 4
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Pediatric Health Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Health Sciences › Health Professions › General Health Professions › Nursing Roles and Practices
- Keywords
- artificial intelligence in nursing, trust, nursing profession, nurse practitioners, nurse researchers, quality improvement, nursing education, peer review, nursing publishing
- MeSH terms
- Artificial Intelligence, Humans, Trust
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