Robin Gardiner
Papers
2
Total Citations
13
H-Index
2
About
Robin Gardiner is a pioneering researcher at the intersection of surgical education, patient safety, and artificial intelligence. Her work centers on enhancing surgeons’ non-technical skills (NTS)—such as communication, teamwork, and decision-making—which are critical to operating room performance but often overlooked in traditional training. Gardiner’s major contributions include developing and validating a novel NTS coaching intervention framework for surgeons, demonstrated in her 2024 pilot quality improvement initiative (9 citations), which provides a structured, scalable method to address performance gaps that impact patient care. More recently, she has broken new ground by exploring the feasibility of large language models (LLMs) to assess and coach surgeons on these skills, as shown in her 2025 study (4 citations). This work demonstrates that models like Llama 3.1 and Mistral can effectively analyze robotic-assisted surgery transcripts, identifying both exemplary and non-exemplar behaviors—a shift from subjective, resource-intensive evaluations toward automated, objective coaching. Gardiner’s research is notable for its translational impact, directly linking AI-driven assessment to improved surgical safety and quality. Her innovative approach positions her as a leader in modernizing surgical training through technology, with growing influence in the fields of healthcare simulation and human factors engineering.
Research Focus
Key Achievements
Top Papers
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