Papers
12
Total Citations
490
H-Index
8
About
Matthias Weigl is a distinguished human factors and patient safety researcher whose work sits at the intersection of surgical robotics, operating room teamwork, and clinical workflow optimization. His research has fundamentally advanced our understanding of how robotic-assisted surgery (RAS) reshapes the cognitive and collaborative demands placed on surgical teams, with a particular focus on flow disruptions — those critical intraoperative events that threaten efficiency, teamwork, and patient safety. Weigl's most cited contribution, the IDEAL framework for surgical robotics (2024, 143 citations), provides a rigorous methodology for evaluating robotic systems across their entire lifecycle. His landmark 2018 studies, collectively accumulating over 240 citations, established empirical connections between flow disruptions, mental workload, stress, and OR team performance — work conducted directly "in the wild" of real surgical environments. He also developed RAS-NOTECHS, a validated observational tool specifically designed to measure non-technical skills in robotic surgery settings, addressing a significant gap in surgical safety assessment. Across his body of work, Weigl has championed evidence-based approaches to understanding how technology integration affects surgical professionals and patients alike, making him an essential voice in the growing field of surgical human factors research.
Research Focus
Key Achievements
Top Papers
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- 2Human factors in robotic assisted surgery: Lessons from studies ‘in the Wild’106 citations · 2018
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- 6Surgical flow disruptions during robotic-assisted radical prostatectomy.23 citations · 2017
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