Andrew Long
Papers
4
Total Citations
179
H-Index
4
About
Andrew Long is a leading researcher at the intersection of robotic surgery, human factors, and team dynamics in the operating theatre. His work critically examines how the integration of surgical robots transforms communication, collaboration, and decision-making among surgical teams. Long’s landmark review on embedding robotic surgery into routine practice (68 citations) reveals that while hospitals invest heavily in robots for anticipated patient benefits, the physical separation of the surgeon from the team can disrupt established workflows and interpersonal dynamics. His realist process evaluation (47 citations) further unpacks the contextual factors that lead to surgical robots being underused, offering evidence-based guidance for smoother implementation. Beyond clinical robotics, Long has contributed foundational work in robot localization, including the notable paper “The Banana Distribution is Gaussian” (45 citations), which addresses pose estimation for noisy mobile robots. He is also recognized for advancing realist methodology, as demonstrated in his work on eliciting Context-Mechanism-Outcome configurations (19 citations). Through his dual focus on technical robotics and sociotechnical systems, Long provides essential insights for designing robotic technologies that enhance, rather than hinder, collaborative surgical care.
Research Focus
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Top Papers
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