Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units

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Ribwar Arsalan Mohammed
Sirwan Khalid Ahmed
Abdulqadir J. Nashwan

Abstract

This paper explores the potential of Artificial Intelligence (AI), including natural language processing (NLP), computer vision, and robotics, to transform nursing workflow in endoscopy units. AI technologies offer numerous advantages, including predictive analytics for efficient scheduling and resource allocation, real-time decision support during procedures, and enhanced diagnostic accuracy through image analysis. Additionally, AI simplifies administrative tasks such as patient scheduling and medical documentation, improving operational efficiency and patient safety. Despite these benefits, challenges related to data privacy, algorithm accuracy, and ethical considerations must be addressed. Effective AI integration requires interdisciplinary collaboration, continuous education for nurses, and robust governance frameworks to ensure responsible and ethical use. Addressing these challenges will enable AI to profoundly impact nursing workflows, significantly enhance patient care, and reshape the operational future of endoscopy units.


 


 


 

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How to Cite

Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units (R. A. . Mohammed, S. K. . Ahmed, & A. J. . Nashwan , Trans.). (2025). Mesopotamian Journal of Artificial Intelligence in Healthcare, 2025, 93-95. https://doi.org/10.58496/MJAIH/2025/009

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