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Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.

Publication ,  Journal Article
Bailey, HE; Carter-Templeton, H; Peterson, GM; Oermann, MH; Owens, JK
Published in: Computers, informatics, nursing : CIN
April 2025

All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intelligence tools. Recent research has shown the difficulty in distinguishing artificial intelligence-generated text from content that is written by humans, thereby increasing the probability for unverified information shared in scholarly works. The purpose of this study was to determine the extent of generative artificial intelligence usage in published nursing articles. The Dimensions database was used to collect articles with at least one appearance of words and phrases associated with generative artificial intelligence. These articles were then searched for words or phrases known to be disproportionately associated with large language model-based generative artificial intelligence. Several nouns, verbs, adverbs, and phrases had remarkable increases in appearance starting in 2023, suggesting use of generative artificial intelligence. Nurses, authors, reviewers, and editors will likely encounter generative artificial intelligence in their work. Although these sophisticated and emerging tools are promising, we must continue to work toward developing ways to verify accuracy of their content, develop policies that insist on transparent use, and safeguard consumers of the evidence they generate.

Duke Scholars

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

April 2025

Volume

43

Issue

4

Start / End Page

e01237

Related Subject Headings

  • Nursing
  • Large Language Models
  • Humans
  • Artificial Intelligence
  • 4205 Nursing
  • 4203 Health services and systems
  • 3904 Specialist studies in education
  • 1110 Nursing
  • 0807 Library and Information Studies
 

Citation

APA
Chicago
ICMJE
MLA
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Bailey, H. E., Carter-Templeton, H., Peterson, G. M., Oermann, M. H., & Owens, J. K. (2025). Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature. Computers, Informatics, Nursing : CIN, 43(4), e01237. https://doi.org/10.1097/cin.0000000000001237
Bailey, Hannah E., Heather Carter-Templeton, Gabriel M. Peterson, Marilyn H. Oermann, and Jacqueline K. Owens. “Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.Computers, Informatics, Nursing : CIN 43, no. 4 (April 2025): e01237. https://doi.org/10.1097/cin.0000000000001237.
Bailey HE, Carter-Templeton H, Peterson GM, Oermann MH, Owens JK. Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature. Computers, informatics, nursing : CIN. 2025 Apr;43(4):e01237.
Bailey, Hannah E., et al. “Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.Computers, Informatics, Nursing : CIN, vol. 43, no. 4, Apr. 2025, p. e01237. Epmc, doi:10.1097/cin.0000000000001237.
Bailey HE, Carter-Templeton H, Peterson GM, Oermann MH, Owens JK. Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature. Computers, informatics, nursing : CIN. 2025 Apr;43(4):e01237.

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

April 2025

Volume

43

Issue

4

Start / End Page

e01237

Related Subject Headings

  • Nursing
  • Large Language Models
  • Humans
  • Artificial Intelligence
  • 4205 Nursing
  • 4203 Health services and systems
  • 3904 Specialist studies in education
  • 1110 Nursing
  • 0807 Library and Information Studies