Sam Curtis

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About

Sam Curtis is a leading researcher in surgical safety and human-robot interaction, with a focus on the sociotechnical challenges of robotic surgery. His most-cited work, "Diagnosing barriers to safety and efficiency in robotic surgery" (2017, 67 citations), provides a critical sub-analysis of observational data from 89 procedures using the da Vinci system, revealing how surgical robots can disrupt teamwork and workflow in ways often missed by clinical studies. This research has been instrumental in shifting the conversation from purely technical performance to the human factors that influence safety and efficiency in the operating room. Curtis’s contributions are particularly valuable for their real-world grounding, helping to identify systemic barriers that affect both patient outcomes and surgical team dynamics. His work is widely cited by researchers and practitioners aiming to improve training, communication, and system design in minimally invasive surgery. By highlighting the gap between technological promise and practical implementation, Curtis continues to shape how we understand and optimize the integration of robotics into complex clinical environments.