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

被引:28
|
作者
Labrague, Leodoro J. [1 ]
Aguilar-Rosales, Rheajane [2 ]
Yboa, Begonia C. [2 ]
Sabio, Jeanette B. [2 ]
de los Santos, Janet A. [3 ]
机构
[1] Loyola Univ Chicago, Marcella Niehoff Sch Nursing, Maywood, IL 60153 USA
[2] Samar State Univ, Coll Nursing & Hlth Sci, Catbalogan, Philippines
[3] Visayas State Univ, Coll Nursing, Leyte, Philippines
关键词
Nurse education; Artificial intelligence; Students; Intention to adopt; Attitude; USER ACCEPTANCE; TELEHEALTH;
D O I
10.1016/j.nepr.2023.103815
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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 (8 = 0.450, p < 0.001) and their intention to adopt AI technology (8 = 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 (8 = 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 uti-lizing 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.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Factors influencing student nurses' readiness to adopt artificial intelligence (AI) in their studies and their perceived barriers to accessing AI technology: A cross-sectional study
    Labrague, Leodoro J.
    Aguilar-Rosales, Rheajane
    Yboa, Begonia C.
    Sabio, Jeanette B.
    NURSE EDUCATION TODAY, 2023, 130
  • [2] Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study
    Sumengen, Aylin Akca
    Subasi, Damla Ozcevik
    Cakir, Gokce Naz
    TEACHING AND LEARNING IN NURSING, 2025, 20 (01) : e250 - e257
  • [3] Exploring Nursing Students' Attitudes and Readiness for Artificial fi cial Intelligence: A Cross-Sectional Study
    Yalcinkaya, Turgay
    Ergin, Eda
    Yucel, Sebnem Cinar
    TEACHING AND LEARNING IN NURSING, 2024, 19 (04) : e722 - e728
  • [4] Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study
    Wang, Xiaoyan
    Fei, Fangqin
    Wei, Jiawen
    Huang, Mingxue
    Xiang, Fengling
    Tu, Jing
    Wang, Yaping
    Gan, Jinhua
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [5] Paediatric nurses' perspectives on artificial intelligence applications: A cross-sectional study of concerns, literacy levels and attitudes
    Subasi, Damla Ozcevik
    Sumengen, Aylin Akca
    Semerci, Remziye
    Simsek, Enes
    Cakir, Gokce Naz
    Temizsoy, Ebru
    JOURNAL OF ADVANCED NURSING, 2025, 81 (03) : 1353 - 1363
  • [6] First-year nursing students' attitudes towards artificial intelligence: Cross-sectional multi-center study
    Lukic, Anita
    Kudelic, Nenad
    Anticevic, Vesna
    Lazic-Mosler, Elvira
    Gluncic, Vicko
    Hren, Darko
    Lukic, Ivan K.
    NURSE EDUCATION IN PRACTICE, 2023, 71
  • [7] Artificial Intelligence in Nursing Education: A Cross-sectional UTAUT Analysis Study
    Alenazi, Latifah H.
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2025, 19 (01) : LC17 - LC22
  • [8] Malaysian Medical Students' Attitudes and Readiness Toward AI (Artificial Intelligence): A Cross-Sectional Study
    Tung, Alvin Yong Zong
    Dong, Ley Wen
    JOURNAL OF MEDICAL EDUCATION AND CURRICULAR DEVELOPMENT, 2023, 10
  • [9] Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study
    Alkhaaldi, Saif M., I
    Kassab, Carl H.
    Dimassi, Zakia
    Alsoud, Leen Oyoun
    Al Fahim, Maha
    Al Hageh, Cynthia
    Ibrahim, Halah
    JMIR MEDICAL EDUCATION, 2023, 9
  • [10] The association of artificial intelligence ethical awareness, attitudes, anxiety, and intention-to-use artificial intelligence technology among nursing students
    Migdadi, Moh''d Khair
    Oweidat, Islam Ali
    Alosta, Mohammad R.
    Al-Mugheed, Khalid
    Alabdullah, Amany Anwar Saeed
    Abdelaliem, Sally Mohammed Farghaly
    DIGITAL HEALTH, 2024, 10