Original Articles Vol. 3 No. 3 (2026): Bioscience Insights Published 2026-10-05

EXPLORING THE ATTITUDES OF BScN STUDENTS TOWARD THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN FUTURE NURSING PRACTICE

Authors

  • Imran Ali BScN, Bhittai College of Nursing, Mirpurkhas, Sindh, Pakistan Pakistan Author
  • Zeeshan Ahmed MSN Scholar, Ziauddin University Faculty of Nursing and Midwifery, Karachi, Pakistan Pakistan Author
  • Nadeem Ahmed MSN Scholar & Vice Principal at Al-Kawthar University, Karachi, Pakistan. Pakistan Author
  • Sarba Ali Khan MSN Scholar, Ziauddin University Faculty of Nursing and Midwifery, Karachi, Pakistan Pakistan Author
  • Ayaz Ali Bhatti Nursing Officer, Khairpur Medical College, Sindh, Pakistan Pakistan Author
  • Mudassar Ali Assistant Prof. Al- Kawthar University, Karachi, Pakistan Pakistan Author
  • Zahid Hussain Chandio MSN Scholar, Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan Pakistan Author
  • Shahida Parveen Keerio MSN Scholar, Ziauddin University Faculty of Nursing and Midwifery, Karachi, Pakistan Pakistan Author
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Abstract

Objective: To determine the attitudes of BScN students toward the integration of artificial intelligence in future nursing practice and to examine their association with digital health literacy and perceived professional impact.

Methods: The present study used a descriptive cross-sectional design where 150 BScN students from two nursing colleges in Mirpurkhas, Sindh, Pakistan were surveyed using an online self-administered questionnaire including demographic information and Attitudes and Competency Assessment Scale (ACAS) with 21 questions. The descriptive statistics, independent samples t-test, one-way ANOVA, Pearson's correlation coefficients, and Cronbach's alpha were determined using IBM SPSS Statistics for version 27.

Results: Mean age of participants was 23.1±1.6 years, and 74.0% were males. The mean score regarding attitude towards AI was neutral to moderately positive (3.19±1.27). Attitude score had a highly positively correlated relationship with digital health literacy (r=0.82, p<0.001) and moderately correlated with the impact on professional practice (r=0.68, p<0.001). There were no significant differences based on gender, institution, previous experience in AI training, and academic year (p>0.05). Benefits from the qualitative analysis included improvement in clinical decision-making and documentation process, whereas concerns included lack of training, ethics, privacy, cost of implementation, and decreased interpersonal patient interactions.

Conclusion: The BScN students exhibited a reserved yet overall positive attitude towards the incorporation of AI in nursing. Digital health literacy was found to be the highest correlation for having a positive attitude, highlighting the need for incorporating AI skills into the nursing undergraduate curriculum.

Keywords

  • artificial intelligence; nursing students; attitudes; digital health literacy.

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