Claire Condron
Papers
4
Total Citations
13
H-Index
3
About
Claire Condron is a pioneering researcher at the intersection of surgical simulation, robotic-assisted surgery (RAS), and operating room team dynamics. Her primary contributions lie in developing innovative, low-cost, high-fidelity training models for complex robotic procedures, such as a porcine model for liver metastases and a hybrid-tissue model for robot-assisted partial nephrectomy—both published in 2024 and already cited four times each. These models address critical gaps in surgical education by providing affordable, realistic platforms for trainees to master parenchyma-preserving techniques. Condron also investigates the human factors of RAS, exploring how closed-console versus open-console systems affect team communication and collaboration. Her work on communication and contextual factors in robotic surgical teams, including a taxonomy protocol (2024, 2 citations), underscores her commitment to improving non-technical skills in the operating room. With her most-cited papers already gaining traction, Condron is shaping the future of surgical training and team-based care in the era of robotics.
Research Focus
Key Achievements
Top Papers
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