Asses the Knowledge and Attitude of Undergraduate Nursing Students towards the Role of Artificial Intelligence in Healthcare
DOI:
https://doi.org/10.70749/ijbr.v3i5.1131Keywords:
Artificial Intelligence, Healthcare, Knowledge, AttitudeAbstract
Objective: To assess the knowledge and attitude of undergraduate nursing students towards the role of artificial intelligence (AI) in healthcare, aiming to understand their readiness and perception of integrating AI into clinical practice. Methods: A descriptive cross-sectional study was conducted to assess the knowledge and attitude of nursing students toward the role of Artificial Intelligence (AI) in healthcare. A total of 208 students were selected using non-probability convenience sampling technique. Informed consent was obtained from all the participants prior to the data collection. The study consisted of two parts: a 10-items knowledge questionnaire and a 10-items attitude questionnaire, designed to evaluate students' understanding of AI technologies and their perspectives on its integration into healthcare settings. The questionnaires were close-ended, focusing on basic knowledge about AI. Results: There was a significant difference in AI knowledge and attitudes between various groups. Male’s demonstrated significantly higher AI knowledge (82.1%) compared to females (69.8%) with a p-value of 0.003. Participants who attended formal AI training exhibited better knowledge, with 41.9% showing adequate knowledge, compared to 25.4% of non-attendees (p = 0.010). Prior exposure to AI workshops significantly influenced attitudes, with attendees showing a more positive attitude toward AI (67.4%) compared to non-attendees (35.8%), with a p-value of <0.001. Gender and formal AI training were found to significantly impact both knowledge and attitude towards AI in healthcare. Conclusion: The study highlights significant differences in AI knowledge and attitude among undergraduate nursing students, with males, participants with formal AI training, and those exposed to AI workshops demonstrating higher levels of knowledge and more positive attitude. These findings underscore the importance of incorporating AI education and training into nursing curricula to better prepare students for the integration of AI in clinical practice.
Downloads
References
Mousavi Baigi SF, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi AS, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Science Reports. 2023 Mar;6(3):e1138.
https://doi.org/10.1002/hsr2.1138
Hamedani Z, Moradi M, Kalroozi F, Manafi Anari A, Jalalifar E, Ansari A, Aski BH, Nezamzadeh M, Karim B. Evaluation of acceptance, attitude, and knowledge towards artificial intelligence and its application from the point of view of physicians and nurses: A provincial survey study in Iran: A cross‐sectional descriptive‐analytical study. Health Science Reports. 2023 Sep; 6(9):e1543.
https://doi.org/10.1002/hsr2.1543
Abuzaid, M.M., Elshami, W., Fadden, S.M., 2022. Integration of artificial intelligence into nursing practice. Health Technol. 12 (6), 1109–1115.
https://doi.org/10.1007/s12553-022-00697-0
Buchanan C, Howitt ML, Wilson R, Booth RG, Risling T, Bamford M. Predicted influences of artificial intelligence on nursing education: A scoping review. JMIR nursing. 2021 Jan 28; 4(1):e23933.
Buchanan C, Howitt M, Wilson R, Booth R, Risling T, Bamford Nursing in the Age Artificial Intelligence: Protocol for a Scoping Review JMIR ResProtoc2020;9(4):e17490 https://doi.org/10.2196/17490
Ronquillo CE, Peltonen LM, Pruinelli L, Chu CH, Bakken S, Beduschi A, Cato K, Hardiker N, Junger A, Michalowski M, Nyrup R. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of advanced nursing. 2021 Sep; 73707-17.
https://doi.org/10.1111/jan.14855
National Health Service: Health Education England. 2019. The Topol review: preparing the healthcare workforce to deliver the digital future [accessed 2020-01-10
Van Bulck L, Couturier R, Moons P. Applications of artificial intelligence for nursing: has a new era arrived? European Journal of Cardiovascular Nursing. 2023 Mar 1;22(3):e19-20.
https://doi.org/10.1093/eurjcn/zvac097
Labrague LJ, Aguilar-Rosales R, Yboa BC, Sabio JB, de Los Santos JA. Student nurses in attitudes, perceived utilization, and intention to adopt artificial intelligence (technology nursing practice: A cross-sectional study. Nurse Education in Practice. 2023 Nov 1; 73:103815.
https://doi.org/10.1016/j.nepr.2023.103815
American Nurses Association. Nursing scope and standards of practice (3rd edition). 2015. [accessed 2020-01-10]
Habib, M., et al. (2024). Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. PLOS ONE, 19(4), e0287654.
https://doi.org/10.1371/journal.pdig.0000443
El-Maksoud, M. M. A. (2024). Nursing Students’ Knowledge and Attitude Regarding Integration of Artificial Intelligence in Healthcare. Tuijin Jishu/Journal of Propulsion Technology, 45(02).
Amiri, H., et al. (2024). Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Medical Education, 24, 54.
https://doi.org/10.1186/s12909-024-05406-1
Abd El-Maksoud, M. M., & El-Sayed, N. A. (2024). Knowledge and Attitude of Nursing Students Regarding Artificial Intelligence. Egyptian Journal of Health Care, 15(3), 510–523.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Indus Journal of Bioscience Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
