S Goddard
Papers
1
Total Citations
2
H-Index
1
About
S Goddard is a researcher focused on advancing medical simulation and training technologies, particularly in the field of robotic endoscopy. Their key contributions center on developing evidence-based frameworks for skill acquisition in semi-automated robotic colonoscopy, a novel approach aimed at reducing patient discomfort and procedural risks associated with traditional colonoscopy. In their most cited work (2019), Goddard conducted a comprehensive assessment of technical parameters and training characteristics for operators of a robotic colonoscope, laying the groundwork for a simulation-based training program that could standardize proficiency in this emerging technology. While the citation count for this foundational paper is modest (2 citations), it represents an early and critical step in defining training benchmarks for robotic gastrointestinal procedures. Goddard’s work bridges the gap between engineering innovation and clinical practice, ensuring that new robotic systems are paired with rigorous, evidence-based training protocols. This research is particularly valuable for medical educators, simulation designers, and clinicians seeking to integrate robotic assistance into routine colonoscopy, ultimately aiming to improve patient outcomes through safer, more comfortable procedures.
Research Focus
Key Achievements
Top Papers
- 1