Nurse Anesthesia Student and Faculty Attitudes on Artificial Intelligence

Background: This study explores the attitudes of nurse anesthesia students and CRNA faculty toward the integration of artificial intelligence (AI) in anesthesia education. Method: A cross-sectional survey design was utilized, collecting data from 455 students and 58 faculty members from six participating U.S. universities. The Attitudes Toward AI scale was used to measure responses. Results: Faculty showed higher familiarity and optimism toward AI compared to students. Significant differences were noted in AI usage and positive attitudes between the two groups. Conclusion: The findings indicate a need for AI literacy programs in CRNA curricula to bridge the knowledge gap and align with technological advancements.

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Publication Details

Journal
Journal of Nurse Anesthesia Education
Published
2025-02-06
DOI
https://doi.org/10.63524/jnae.129203
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Nurse Anesthesia Student and Faculty Attitudes on Artificial Intelligence

Joshua Olson, Arthur Ko, Phillip Olla, Linda Thiel et al.
1 citations
Journal of Nurse Anesthesia Education
Artificial Intelligence in Healthcare and Education
0.65
article

Nurse Anesthesia Student and Faculty Attitudes on Artificial Intelligence

Joshua Olson, Arthur Ko, Phillip Olla, Linda Thiel, Jill Marie Mason
article en
1 citations

Abstract

Background: This study explores the attitudes of nurse anesthesia students and CRNA faculty toward the integration of artificial intelligence (AI) in anesthesia education. Method: A cross-sectional survey design was utilized, collecting data from 455 students and 58 faculty members from six participating U.S. universities. The Attitudes Toward AI scale was used to measure responses. Results: Faculty showed higher familiarity and optimism toward AI compared to students. Significant differences were noted in AI usage and positive attitudes between the two groups. Conclusion: The findings indicate a need for AI literacy programs in CRNA curricula to bridge the knowledge gap and align with technological advancements.

Journal of Nurse Anesthesia Education
Adventist University of Health Sciences (US), University of Detroit Mercy (US)
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
0.65
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