Preventive Care in Nursing and Midwifery
Volume 16, Issue 3 (7-2026)
Prev Care Nurs Midwifery 2026, 16(3): 0-0 |
Back to browse issues page
Ethics code: PDSU20250317
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Wang F, Ma S, Zhao C. Artificial Intelligence Literacy Among Nursing Interns: Current Status and Influencing Factors. , Prev Care Nurs Midwifery. 2026; 16 (3)
URL: http://nmcjournal.zums.ac.ir/article-1-1041-en.html
URL: http://nmcjournal.zums.ac.ir/article-1-1041-en.html
Pingdingshan University, Pingdingshan, China , 625475834@qq.com
Abstract: (602 Views)
Background: With the rapid integration of artificial intelligence (AI) into healthcare and nursing, intelligent nursing has emerged as a major trend in the development of the profession.
Objective: This study aimed to assess AI literacy among nursing interns and identify its influencing factors.
Methods: A cross-sectional study was conducted between December 2025 and January 2026 using convenience sampling to recruit 250 nursing interns from five tertiary Grade A hospitals in Henan Province, China. Data were collected using a general information questionnaire and the Artificial Intelligence Literacy Survey Scale. Descriptive statistics, independent-samples t-tests, one-way ANOVA, and multiple linear regression were performed using IBM SPSS Statistics version 27.0.
Results: The mean (SD) AI literacy score among nursing interns was 40.20 (9.63). Multiple linear regression showed that willingness to participate in AI training (β = −0.193, p = 0.001) and frequency of AI use (β = −0.354, p < 0.001) were independently associated with AI literacy, explaining 19.9% of its variance (adjusted R² = 0.199).
Conclusions: Nursing interns demonstrated a moderate to high level of AI literacy. Greater AI use and willingness to participate in AI training were associated with higher AI literacy. Strengthening AI education and encouraging active engagement with AI may help improve AI literacy and better prepare nursing interns for the evolving demands of intelligent nursing practice.
Objective: This study aimed to assess AI literacy among nursing interns and identify its influencing factors.
Methods: A cross-sectional study was conducted between December 2025 and January 2026 using convenience sampling to recruit 250 nursing interns from five tertiary Grade A hospitals in Henan Province, China. Data were collected using a general information questionnaire and the Artificial Intelligence Literacy Survey Scale. Descriptive statistics, independent-samples t-tests, one-way ANOVA, and multiple linear regression were performed using IBM SPSS Statistics version 27.0.
Results: The mean (SD) AI literacy score among nursing interns was 40.20 (9.63). Multiple linear regression showed that willingness to participate in AI training (β = −0.193, p = 0.001) and frequency of AI use (β = −0.354, p < 0.001) were independently associated with AI literacy, explaining 19.9% of its variance (adjusted R² = 0.199).
Conclusions: Nursing interns demonstrated a moderate to high level of AI literacy. Greater AI use and willingness to participate in AI training were associated with higher AI literacy. Strengthening AI education and encouraging active engagement with AI may help improve AI literacy and better prepare nursing interns for the evolving demands of intelligent nursing practice.
Type of Study: Orginal research |
Subject:
Nursing
References
1. Huang Q, Wu Y, Liu J, Li C, Long W, He J, et al. A qualitative study on the willingness and needs of diabetic patients for artificial intelligence telephone follow-up. Journal of Nursing Science. 2025;40(2):108-111. [https://doi.org/10.3870/j.issn.1001-4152.2025.02.108]
2. Ye Y. Application and challenges of artificial intelligence in the medical field. Yangtze Information and Communications. 2024;37(5):101-103. [https://doi.org/10.20153/j.issn.2096-9759.2024.05.029]
3. Zhou Q, Xu YP, Cai YC. Multidimensional analysis of the current status and influencing factors of college students' artificial intelligence literacy. Library and Information Knowledge. 2024;41(3):38-48. [https://doi.org/10.13366/j.dik.2024.03.038]
4. Wei Q, Pan S, Liu X, Hong M, Nong C, Zhang W. The integration of AI in nursing: addressing current applications, challenges, and future directions. Frontiers in Medicine. 2025; 12:1545420. [https://doi.org/10.3389/fmed.2025.1545420] [PMID]
5. Liu T, Yang FG, Yang L, Yang X, Han J, Wang A. A qualitative study on the experience of Master of Nursing students using artificial intelligence-generated content tools. Chinese Journal of Nursing Education. 2024;21(9):1046-1051. [https://doi.org/10.3761/j.issn.1672-9234.2024.09.003]
6. Wang B, Rau PP, Yuan T. Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour and Information Technology. 2023;42(9):1324-1337. [https://doi.org/10.1080/0144929X.2022.2072768]
7. Kong H, Su Y, Li H, Pan G, Chen J, Wang M. Current status and influencing factors of artificial intelligence literacy among clinical nurses. Journal of Nursing Science. 2025;40(18):106-109. [https://doi.org/10.3870/j.issn.1001-4152.2025.18.106]
8. Wang SY, Li M. From ChatGPT 4.0 to DeepSeek-R1: innovative scenarios and ethical governance paradigm shift in the application of artificial intelligence in healthcare. Chinese Medical Ethics. 2026;39(3):300-306. [https://doi.org/10.12026/j.issn.1001-8565.2026.03.03]
9. Zhang ZP, Zhang Y. Correlation study on professional identity, professional self-efficacy and transition shock of undergraduate nursing interns. Health Vocational Education. 2024;42(8):118-122. [https://doi.org/10.20037/j.issn.1671-1246.2024.08.34]
10. Xu C. Application practice of artificial intelligence in the construction of intensive care cloud platform. Chinese Health Quality Management. 2025;32(12):13-17. [https://doi.org/10.13912/j.cnki.chqm.2025.32.12.03]
11. Kahraman H, Akutay S, Yüceler Kaçmaz H, Taşcı S. Artificial intelligence literacy levels of perioperative nurses: the case of Türkiye. Nursing and Health Sciences. 2025;27(1): e70059. [https://doi.org/10.1111/nhs.70059] [PMID]
12. Nie YX, Xie YC, Li Z, Yang XF, Wang M, Yang LH, et al. Study on artificial intelligence literacy and influencing factors of nurses. Journal of Nursing Science. 2026;41(1):19-23,59. [https://doi.org/10.3870/j.issn.1001-4152.2026.01.019]
13. Niu R, Zhang N, Song XD, et al. Research progress on nurses' artificial intelligence readiness. Journal of Nursing. 2025;32(17):24-28. [https://doi.org/10.16460/j.issn2097-6569.2025.17.024]
14. Guo WJ, Pang XL, Liu Y, et al. Mediating role of nurses' self-directed learning ability between information literacy and innovative behavior. Journal of Nursing Science. 2022;37(12):57-59. [https://doi.org/10.3870/j.issn.1001-4152.2022.12.057]
15. Li P, Hu N. Analysis of the role of clinical nursing educators in the artificial intelligence era. China Continuing Medical Education. 2025;17(8):155-159. [https://doi.org/10.3969/j.issn.1674-9308.2025.08.033]
16. Perchik JD, Smith AD, Elkassem AA, Park JM, Rothenberg SA, Tanwar M, et al. Artificial intelligence literacy: developing a multi-institutional infrastructure for AI education. Academic Radiology. 2023;30(7):1472-1480. [https://doi.org/10.1016/j.acra.2022.10.002] [PMID]
17. Shah R, Bozic KJ, Jayakumar P. Artificial intelligence in value-based health care. HSS Journal. 2025;21(3):307-313. [https://doi.org/10.1177/15563316251340074] [PMID]
18. Zhou JM, Lü Y. Construction and cultivation of core literacy of traditional Chinese medicine talents under the background of artificial intelligence: analysis based on students' artificial intelligence ability framework. Education of Chinese Medicine. 2026;45(2):1-6. [https://doi.org/10.3969/j.issn.1003-305X.2026.02.226]
19. Zhang YR, Yang G, Xu JY, Zeng QF. Construction of artificial intelligence literacy model and its implementation path. Modern Educational Technology. 2022;32(3):42-50. [https://doi.org/10.3969/j.issn.1009-8097.2022.03.005]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |