Evaluating Nurses’ Knowledge of Artificial Intelligence Applications in Clinical Nursing

Abstract

Objective: Healthcare is undergoing a rapid transformation due to artificial intelligence (AI), which has the potential to enhance the nursing profession significantly. Empirical evidence suggests that AI is already influencing nursing practice, encompassing clinical care, nursing responsibilities, and nurse-patient interactions. The goal of the study was to assess nurses' knowledge of artificial intelligence. Methods and Materials: The research was carried out including (354) nurses selected from different departments of the hospitals in Iraq, which include surgical wards, medical, intensive care units, emergency, dialysis, and maternal and child units, using a self-report questionnaire to assess the nurses' Sociodemographic variables (SDVs), and the nurses' AI knowledge. Using statistical tables like Percent (%) and Frequencies (No.). Calculating the overall mean score (M ±), the standard deviation test ±SD. Findings: According to the study's findings, 57.6% of the participants were female, and 94.4% of them were not enrolled in artificial intelligence training programs. Among nurses, 85.6% had a moderate level of understanding of AI. Regarding artificial intelligence, a correlation was found between the nurses' knowledge and specific characteristics (age, educational background, department or unit, and training program) at p ≤ 0.05. Conclusion: The study concluded that nurses' knowledge of artificial intelligence was moderate, varying according to their age, educational background, training, and department of employment.

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