The Emerging Role of Artificial Intelligence in Enhancing Clinical Decision-Making: A Narrative Review of Opportunities, Challenges, and Future Directions in Nursing Practice

The rapid integration of artificial intelligence (AI) into healthcare has introduced transformative opportunities for nursing practice, particularly in the domain of clinical decision-making. This narrative review aims to explore how AI-driven tools support nurses in assessing patient conditions, predicting clinical deterioration, optimizing workflow, and improving the accuracy of nursing judgments. Recent evidence suggests that AI-enhanced systems, such as predictive analytics, decision-support algorithms, and automated monitoring platforms, can significantly enhance patient safety by identifying subtle changes in patient status earlier than traditional methods. Moreover, AI applications have demonstrated potential in reducing nurses’ cognitive workload and improving the efficiency of routine tasks, thereby allowing greater focus on direct patient care. Despite these advancements, challenges remain, including data privacy concerns, limited digital literacy among nurses, workflow integration issues, and the risk of over-reliance on technology. This review concludes that AI has the capacity to strengthen clinical decision-making in nursing; however, its successful implementation requires comprehensive training, ethical data management, and robust policies to ensure safe and balanced human-technology collaboration. Future research should focus on developing nurse-centered AI models and evaluating their long-term effects on patient outcomes and professional practice.

کلیدواژه ها:

Artificial intelligence ، Nursing practice ، Clinical decision-making ، Decision-support systems ، Predictive analytics ، Patient safety ، Nursing informatics ، Healthcare technology