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

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.

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Publication Details

Journal
CIN Computers Informatics Nursing
Published
2024-12-31
DOI
https://doi.org/10.1097/cin.0000000000001237
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Marilyn H. Oermann, Gabriel M. Peterson, Heather Carter‐Templeton, Jacqueline K. Owens et al.
CIN Computers Informatics Nursing
Artificial Intelligence in Healthcare and Education
article

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

Marilyn H. Oermann, Gabriel M. Peterson, Heather Carter‐Templeton, Jacqueline K. Owens, Hannah Bailey
article en

Abstract

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.

CIN Computers Informatics NursingVol. 43(4)
North Carolina Central University (US), Morgantown High School (US), Schüchtermann-Klinik (DE), Peterson (Norway) (NO), Owens Community College (US)
Quality Education
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
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