Arron Gill
Papers
5
Total Citations
237
H-Index
5
About
Arron Gill is a leading researcher in the implementation and team dynamics of robot-assisted surgery (RAS), focusing on how this complex technology transforms communication, collaboration, and decision-making within surgical teams. His work critically examines the gap between the anticipated benefits of surgical robots and the real-world challenges of embedding them into routine practice. Gill’s most influential studies, including a seminal 2016 review (68 citations) and a 2019 realist interview study (58 citations), identify the contextual factors that support or constrain successful RAS integration. He is particularly known for applying realist evaluation methods to uncover the underlying mechanisms—such as altered spatial dynamics and surgeon-team separation—that impact teamwork and workflow. His 2017 process evaluation (47 citations) and 2015 study on decision-making (45 citations) have provided essential evidence for healthcare organizations navigating technology adoption. With a cumulative citation count exceeding 230, Gill’s research offers practical insights for improving surgical training, team coordination, and the safe, effective use of robotic systems in operating theatres worldwide.
Research Focus
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Top Papers
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