Anina Hahn

Papers

Total Citations

122

H-Index

About

Anina Hahn is a leading researcher in surgical education and robotic spine surgery, best known for her groundbreaking work on the cognitive biases that affect surgical skill acquisition. Her most-cited paper, "Unskilled unawareness and the learning curve in robotic spine surgery" (2015, 122 citations), introduced a critical framework for understanding how novice surgeons overestimate their competence during training—a phenomenon she termed "unskilled unawareness." This work has fundamentally reshaped how surgical curricula are designed, emphasizing structured feedback and objective performance metrics to mitigate overconfidence. Hahn’s research bridges cognitive psychology and clinical practice, offering evidence-based strategies to improve patient safety and training efficiency. Her contributions have been widely recognized, with her citation impact reflecting the relevance of her insights to both robotic surgery and broader medical education. Beyond her seminal paper, she has published influential studies on simulation-based learning and error analysis in minimally invasive procedures. Hahn’s work continues to guide educators and trainees, making her a pivotal figure in advancing surgical training methodologies.