Nana Levann
Papers
1
Total Citations
11
H-Index
1
About
Nana Levann is a pioneering researcher in robotic surgery and perioperative nursing, with a focus on how experienced clinical teams adapt to emerging surgical technologies. Her work centers on the human factors of robotic-assisted surgery, particularly the learning curves and workflow adaptations of specialized nursing teams. Levann’s most cited study, "How experienced robotic nurses adapt to the Hugo™ RAS system" (2024, 11 citations), provides the first prospective analysis of how a veteran robotic nurse team restructures preoperative and perioperative routines when transitioning to a new robotic platform. This research is foundational for understanding team-level impacts of surgical innovation, offering critical insights for training protocols and patient safety. By documenting real-world adaptation patterns, Levann bridges the gap between technological advancement and clinical practice, ensuring that the introduction of new systems like Medtronic’s Hugo™ RAS is guided by evidence-based team dynamics. Her work is essential reading for researchers and practitioners navigating the intersection of robotics, nursing, and surgical workflow optimization.
Research Focus
Key Achievements
Top Papers
- 1How experienced robotic nurses adapt to the Hugo™ RAS system11 citations · 2024