Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units

Authors

• Ribwar Arsalan Mohammed, College of Nursing, University of Raparin, Rania, Sulaymaniyah, Kurdistan Region, 46012, Iraq
• Sirwan Khalid Ahmed, College of Nursing, University of Raparin, Rania, Sulaymaniyah, Kurdistan Region, 46012, IraqFollow
• Abdulqadir J. Nashwan, Department of Nursing, Hazm Mebaireek General Hospital, Hamad Medical Corporation, Doha, Qatar

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.

Recommended Citation

Mohammed, Ribwar Arsalan; Ahmed, Sirwan Khalid; and Nashwan, Abdulqadir J. (2025) "Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units," Mesopotamian Journal of Artificial Intelligence in Healthcare: Vol. 3: Iss. 1, Article 8.
DOI: https://doi.org/10.58496/MJAIH/2025/009

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.