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.
Authors
- Joshua Olson (ORCID: https://orcid.org/0000-0002-1733-0431)
- Arthur Ko
- Phillip Olla
- Linda Thiel
- Jill Marie Mason
Institutions
- Adventist University of Health Sciences (US)
- University of Detroit Mercy (US)
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