The Integration of Artificial Intelligence in Surgical Nursing: Opportunities and Challenges

Abstract

The integration of Artificial Intelligence (AI) into surgical nursing has the potential to revolutionize patient care by enhancing safety, improving decision-making, and streamlining workflows. AI technologies such as machine learning, robotics, and predictive analytics can assist surgical nurses in preoperative, intraoperative, and postoperative care, enabling them to provide more personalized and efficient care. It examines the challenges faced in AI adoption, such as the need for adequate training, ethical concerns, resistance to change, cost implications, and legal and regulatory considerations. Despite these challenges, AI’s integration into surgical nursing holds great promise for improving surgical outcomes, patient recovery, and overall healthcare efficiency. Future efforts should focus on overcoming these obstacles to ensure the successful and ethical application of AI technologies in surgical nursing.

How to cite this article:
Kumar R, Singh P, Aawliya P. The Integration
of Artificial Intelligence in Surgical Nursing:
Opportunities and Challenges. J Surg Nurs Allied
Health Sci. 2025;1(1):24-27.