Samuel P. Dechario
Papers
4
Total Citations
39
H-Index
4
About
Samuel P. Dechario is a rising leader in surgical education and quality improvement, with a focused research program at the intersection of robotic bariatric surgery, video-based assessment, and equity in surgical training. His most influential work, cited 21 times, established a robust correlation between operative time and crowd-sourced skills assessment for robotic bariatric surgery, demonstrating that scalable, non-expert evaluation can reliably measure technical proficiency. In a landmark 2022 study (10 citations), Dechario showed that blinded intraoperative skill evaluations effectively eliminate gender-based bias, a critical contribution to fair assessment in surgery. He has also advanced outcome prediction in bariatric surgery through video-based analysis (4 citations) and investigated whether robotic technical skill explains differences in operative performance across the surgical learning curve (4 citations). By challenging prior assumptions that small video samples suffice for assessment, Dechario’s work reveals significant heterogeneity among practicing surgeons and highlights the need for large-scale, unbiased evaluation methods. His research not only refines how we measure surgical competence but also promotes equity and precision in surgical education.
Research Focus
Key Achievements
Top Papers
- 1
- 2Blinded intraoperative skill evaluations avoid gender-based bias10 citations · 2022
- 3Outcome prediction in bariatric surgery through video-based assessment4 citations · 2022
- 4