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Cited by 196Artificial Intelligence in Healthcare and EducationTechnology Adoption and User BehaviourArtificial Intelligence in Education

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study

Labrague, Leodoro J., Aguilar-Rosales, Rheajane, Yboa, Begonia C., Sabio, Jeanette B., de los Santos, Janet A.·2023·Nurse Education in Practice
DOI 10.1016/j.nepr.2023.103815
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Abstract

Aim The aim of this study was to investigate the attitudes and intentions of student nurses towards Artificial Intelligence (AI) in the context of nursing practice and to explore the relationship between their attitudes towards AI, their perceptions of AI utilization in nursing practice, and their intentions to adopt AI technology. The study hypothesized that perceived utilization of AI in nursing practice would positively influence the intention to use AI and that attitudes towards AI would mediate this relationship.Background AI has the potential to revolutionize various aspects of healthcare, including nursing practice. As AI technology continues to advance, it becomes increasingly important for nurse education to prepare student nurses to leverage AI technology and be willing to adopt it in their nursing practice.Design Cross-sectional design.Methods A total of 200 student nurses from two government-owned nursing schools participated in the study. Mediation testing was performed using Hayes' PROCESS macro in SPSS (Model 4).Results Perceived AI utilization in nursing practice had a significant positive effect on student nurses' attitudes towards AI (β = 0.450, p < 0.001) and their intention to adopt AI technology (β = 0.458, p < 0.001). Attitudes towards AI partially mediated the relationship between perceived AI utilization in nursing practice and the intention to adopt AI technology (β = 0.255).Conclusion The findings suggest that student nurses had favorable perceptions of AI utilization in nursing practice, expressed high intentions to adopt AI technology, and held positive attitudes towards AI. Furthermore, student nurses' perceptions of AI utilization in nursing practice influenced their attitudes towards AI, which, in turn, affected their intentions to adopt AI technology. Nursing education programs should incorporate AI-focused coursework, training, and experiential learning to further enhance students' readiness and proficiency in utilizing AI technology. Additionally, healthcare institutions should consider creating a supportive environment for nursing students to explore and embrace AI, ultimately preparing them for the evolving landscape of AI-enhanced healthcare practice.Tweetable abstract Student nurses' attitudes towards AI technology were influenced by their perceptions of AI utilization in nursing practice, which subsequently influenced their intentions to adopt AI technology.

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Crossref · 10.1016/j.nepr.2023.103815

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Metadata

Authors
Labrague, L. J., Aguilar-Rosales, R., Yboa, B. C., Sabio, J. B., & de los Santos, J. A.
Affiliations
  • Loyola University Chicago (US)
  • Samar State University (PH)
Corresponding author
Labrague, Leodoro J.
ORCID
Labrague, Leodoro J.
Venue
Nurse Education in Practice
Publisher
Elsevier BV
Published
2023-11
Volume
73
Pages
103815
ISSN
1471-5953 (ISSN-L)
DOI
10.1016/j.nepr.2023.103815
OpenAlex
W4387783846
Cited by
196
References
32
Citations by year
2026: 96 · 2025: 73 · 2024: 27
FWCI
7.84
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Nurse Education in Practice (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Education › Artificial Intelligence in Education
Keywords
artificial intelligence, nursing students, attitudes toward AI, nursing practice, technology adoption, nursing education, artificial intelligence in healthcare
MeSH terms
Artificial Intelligence, Attitude of Health Personnel, Cross-Sectional Studies, Humans, Nurses, Surveys and Questionnaires, Students, Nursing, Intention

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