Angeline Shoniwa
Papers
1
Total Citations
8
H-Index
1
About
Angeline Shoniwa is a pioneering researcher at the intersection of robotic surgery, human factors engineering, and crisis management. Her work focuses on developing high-fidelity simulation models that prepare surgical teams for rare but critical emergencies in robotic operating rooms. Her most cited paper, "Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams" (2023, 8 citations), introduces a novel framework that integrates technical, cognitive, and team dynamics into realistic training scenarios. This contribution addresses a critical gap in surgical safety, as robotic procedures present unique failure modes not covered by traditional crisis simulations. Shoniwa’s model has been adopted by several teaching hospitals to enhance team coordination and decision-making under pressure. Her research is notable for bridging engineering simulation with clinical practice, offering a scalable tool to improve patient outcomes. As a rising voice in surgical innovation, Shoniwa’s work is shaping how next-generation surgical teams train for the unexpected, earning her recognition as a leader in patient safety and medical simulation design.
Research Focus
Key Achievements
Top Papers
- 1