Maksim Zayaruzny

University of Massachusetts Chan Medical School

Papers

2

Total Citations

19

H-Index

2

About

Maksim Zayaruzny is a leading researcher in the field of robotic surgery safety and simulation-based training. His work focuses on developing and validating high-fidelity in-situ simulations to improve operating room team performance during critical emergencies, particularly in thoracic robotic surgery. Zayaruzny’s major contributions include pioneering the use of clinical systems tests to evaluate and enhance team responses to rare but life-threatening events, such as intraoperative hemorrhages where the surgeon is not at the bedside. His 2022 study on in-situ simulation for thoracic robotic emergencies has garnered 13 citations, establishing a foundational protocol for emergency undocking procedures. Building on this, his 2024 work on emergent robotic surgery conversions further refines training programs to reduce delays in addressing intraoperative crises. By systematically testing and improving team performance through realistic simulations, Zayaruzny directly addresses critical safety gaps in robotic surgery, helping to ensure that surgical teams are prepared for high-stakes conversions. His research is essential reading for clinicians and simulation specialists seeking to enhance patient safety in the rapidly evolving field of robotic-assisted surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Use of In-Situ Simulation Based Clinical Systems Test of Thoracic Robotic Surgery Emergencies
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Massachusetts Chan Medical School

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago