Leveraging Artificial Intelligence to Enhance Nursing Workflow in Endoscopy Units
Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed, Abdulqadir J. Nashwan
- Year
- 2025
- Citations
- 3
- Access
- Open access
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002