Educational Approaches for Strengthening Nurses' Awareness and Acceptance of Artificial Intelligence in Healthcare Delivery: A Hospital-Based Quasi-Experimental Study: Implications for Long-Term Value Creation

Abstract

The adoption of the use of artificial intelligence (AI) in healthcare requires proper readiness among the nursing leaders. This quasi-experimental study was a hospital-based study that identified the effectiveness of structured educational interventions in improving the level of awareness and acceptance of AI technologies by the nurses in healthcare delivery. India Tertiary care hospital Nurses A sample (n=120) was split into experimental and control groups. The experimental participants were provided with a four-week educational intervention on the basics of AI, its medical uses, and ethics. Validated instruments were used to measure levels of knowledge, attitudes, and acceptance, based on the pre-test and post-test assessments. The findings showed a significant difference in the scores of AI awareness (p<0.001) and acceptance (p<0.001) of the experimental group when compared to control. The intervention led to the improvement of knowledge on the AI use in monitoring patients, aiding diagnosis, and optimizing the workflow. Results indicate that pertinent educational strategies can be used to resolve knowledge gaps and minimize AI adoption resistance. This paper has justifications about introducing systematic training to equip nursing labor with AI-based medical settings and eventually adding value to the long-term with the provision of better quality care and operational efficiency.