Artificial intelligence (AI) in nursing administration: Challenges and opportunities

Artificial Intelligence (AI) is increasingly transforming nursing administration by enhancing operational efficiency and supporting data-driven decision-making. This study explores registered nurses perceptions of AI in Saudi Arabia, focusing on both challenges and opportunities. A cross-sectional survey of 202 nurses revealed that 93.6% believe AI improves understanding, and 88.1% feel it enhances the quality of learning. Significant correlations were found between years of experience and AI usage (r = 0.342, p < 0.001) and between sources of information and AI perception (r = 0.146, p = 0.039). While 80.7% expressed concern that AI could reduce critical thinking, 76.8% feared job displacement. These findings underscore the need for training, ethical guidelines, and support systems to foster effective AI integration, enhancing nursing practice while addressing concerns around professional roles.

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Publication Details

Journal
PLoS ONE
Published
2025-04-01
DOI
https://doi.org/10.1371/journal.pone.0319588
Citations
12
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
7.85
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article

Artificial intelligence (AI) in nursing administration: Challenges and opportunities

Mukhlid Alshammari, Abdullah Almalki, Omar Qaladi
12 citations
PLoS ONE
Artificial Intelligence in Healthcare and Education
7.85
article

Artificial intelligence (AI) in nursing administration: Challenges and opportunities

Mukhlid Alshammari, Abdullah Almalki, Omar Qaladi
article en
12 citations

Abstract

Artificial Intelligence (AI) is increasingly transforming nursing administration by enhancing operational efficiency and supporting data-driven decision-making. This study explores registered nurses perceptions of AI in Saudi Arabia, focusing on both challenges and opportunities. A cross-sectional survey of 202 nurses revealed that 93.6% believe AI improves understanding, and 88.1% feel it enhances the quality of learning. Significant correlations were found between years of experience and AI usage (r = 0.342, p < 0.001) and between sources of information and AI perception (r = 0.146, p = 0.039). While 80.7% expressed concern that AI could reduce critical thinking, 76.8% feared job displacement. These findings underscore the need for training, ethical guidelines, and support systems to foster effective AI integration, enhancing nursing practice while addressing concerns around professional roles.

PLoS ONEVol. 20(4)
King Saud University (SA), University of Hafr Al-Batin (SA), Ministry of Health (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
7.85
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Artificial intelligence (AI) in nursing administration: Challenges and opportunities — Mukhlid Alshammari, Abdullah Almalki, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS