The Role of Artificial Intelligence in Nursing: Advancements, Challenges, and Future Directions

Abstract

The integration of Artificial Intelligence (AI) into nursing practice is revolutionizing patient care, clinical workflows, and nursing education. This review aims to comprehensively analyze AI technologies in healthcare, emphasizing their transformative impact on nursing roles. The primary objective is to elucidate how AI enhances nurses' decision-making, diagnostic, and treatment planning capabilities, ultimately improving patient outcomes. Additionally, the paper addresses ethical considerations and challenges. Methodologically, the manuscript critically analyzes existing literature and case studies on AI in nursing, exploring technologies like machine learning, natural language processing (NLP), and robotics.

The findings highlight AI's potential to personalize patient care, streamline administrative tasks, and provide advanced training for nurses. AI tools enable data-driven insights for better care and resource allocation. However, robust ethical and regulatory frameworks are needed to address data security, algorithmic fairness, and human-centered care. Continuous education and interdisciplinary collaboration are recommended for responsible AI implementation in nursing. In conclusion, AI can significantly transform nursing by enhancing clinical outcomes, operational efficiency, and education. Ongoing research, collaboration, and ethical considerations are crucial to fully realize AI's potential and improve healthcare delivery.