Jermyn Addy

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About

Jermyn Addy is a surgical researcher whose work focuses on the intersection of robotic surgery, operative efficiency, and objective skills assessment. In his most-cited study, "Correlation between operative time and crowd-sourced skills assessment for robotic bariatric surgery" (2020, 21 citations), Addy pioneered a novel approach to evaluating surgical proficiency by demonstrating that crowd-sourced evaluations of robotic bariatric procedures correlate meaningfully with operative time. This contribution challenges traditional, resource-intensive expert review methods, offering a scalable, cost-effective tool for quality improvement in minimally invasive surgery. By linking crowd-sourced feedback to a key metric like operative duration, Addy’s work provides actionable insights for training and credentialing surgeons. His research underscores the potential of leveraging collective intelligence to enhance surgical education and patient outcomes. With a growing citation footprint, Addy is establishing himself as an innovator in surgical analytics, bridging the gap between big data and clinical practice. His findings are particularly relevant for robotic surgery programs seeking efficient, evidence-based ways to monitor and improve performance, making him a notable voice in the evolving landscape of surgical quality assurance.