Astrid Orth
Papers
1
Total Citations
13
H-Index
1
About
Astrid Orth is a researcher in surgical simulation and medical education, with a particular focus on robotic surgery training. Her work centers on optimizing the use of the Da Vinci surgical system, a leading platform for minimally invasive robotic procedures. In her most-cited study, "Evaluation of different time schedules in training with the Da Vinci simulator" (2017, 13 citations), Orth systematically examined how varying training intervals affect skill acquisition and retention among surgeons. This contribution provides evidence-based guidance for structuring simulation curricula, helping to maximize learning efficiency while minimizing resource use. Her research addresses a critical gap in surgical education: the need for standardized, effective training protocols that ensure patient safety and procedural competence. By investigating the impact of distributed versus massed practice, Orth’s findings have informed training programs in academic medical centers and simulation labs. Though her citation count reflects the specialized nature of her field, her work has practical implications for the design of robotic surgery training, supporting the broader goal of improving surgical outcomes through rigorous, data-driven educational strategies.
Research Focus
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Top Papers
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