Assessment of Readiness and Perception toward Artificial Intelligence Integration in Nursing Education: A Quantitative Study in Sindh, Pakistan
Year: 2025
Type: article
Study design: Observational Study
Abstract: Artificial Intelligence (AI) is revolutionizing healthcare systems worldwide. However, its effective integration into nursing education, particularly in Low and Middle-Income Countries (LMICs), remains underexplored. Objective: To assess the readiness, awareness, and perceived barriers regarding AI integration among nursing students in Sindh using a structured quantitative approach. Methods: A descriptive cross-sectional study was conducted among 230 students using a stratified non-probability random sampling method. Data were collected via a validated Likert-scale questionnaire and analyzed using SPSS version 26.. Results: 90% of students reported conceptual awareness of AI, and 92% expressed excitement about using AI tools in nursing education. However, only 43% had formal AI training. Perceived barriers included data privacy concerns (86%), lack of infrastructure (77%), and fear of job displacement (71%). Conclusion: The study findings demonstrated that it is necessary to have a regular systematic AI-oriented training in the nursing curriculum to better equip students in working with a relevant technology.
Authors: Zeeshan Ahmed, Imran Ali Kaladi, Jasika Rehan, Zahid Hussain, Javid Ali Zardari, Anesh Kumar
Institution: Ziauddin University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4413046793