Integration of Artificial Intelligence (AI) in Nursing Practice

Abstract

Artificial Intelligence (AI) is rapidly transforming healthcare systems across the world, and nursing practice is no exception. The integration of AI into nursing has introduced new possibilities in patient monitoring, clinical decision support, predictive analytics, robotic assistance, and administrative automation. AI-based tools assist nurses in improving accuracy, reducing workload, and enhancing patient safety. However, its implementation also presents ethical, technical, and professional challenges including data privacy concerns, lack of training, algorithm bias, and fear of job displacement. This review paper explores the role of AI in nursing practice, key applications, benefits, limitations, ethical considerations, and future directions. The study highlights that AI should be viewed as a supportive technology rather than a replacement for nurses. Proper training, regulatory frameworks, and collaborative system design are essential to ensure safe and effective adoption. Integration of AI in nursing practice has the potential to significantly improve quality of care if implemented responsibly and strategically.

KEYWORDS: Artificial Intelligence, Nursing Practice, Clinical Decision Support, Patient Monitoring, Healthcare Technology, Predictive Analytics