Carlos Vaz

About

Carlos Vaz is a leading figure in robotic surgery, with a research focus that bridges surgical education, quality benchmarking, and technical standardization. His most impactful work centers on developing structured training frameworks for robotic procedures. Notably, his 2019 paper on utilizing the Delphi process to create a proficiency-based progression train-the-trainer course for robotic surgery has garnered 105 citations, establishing a foundational methodology for surgical education. Vaz further advanced this field by leading an expert consensus on a train-the-trainer curriculum specifically for robotic colorectal surgery, addressing critical gaps in structured training programs. In bariatric surgery, he has made significant contributions by establishing global benchmarks for primary robotic procedures, redefining quality standards for Roux-en-Y gastric bypass and sleeve gastrectomy (27 citations). His technical expertise is demonstrated through a single-surgeon study with five-year follow-up on totally robotic Roux-en-Y gastric bypass (20 citations), providing valuable long-term outcome data. Through these contributions, Vaz has shaped how surgeons are trained and how robotic surgical quality is measured, directly impacting patient care and surgical education worldwide.

Research Focus

Key Achievements

Top Papers

1. 1
   Utilising the Delphi Process to Develop a Proficiency-based Progression Train-the-trainer Course for Robotic Surgery Training

   105 citations · 2019
2. 2
   Expert consensus on a train‐the‐trainer curriculum for robotic colorectal surgery

   30 citations · 2019
3. 3
   Global benchmarks in primary robotic bariatric surgery redefine quality standards for Roux-en-Y gastric bypass and sleeve gastrectomy

   27 citations · 2023
4. 4
   Technical aspects and standardization of the totally robotic Roux-en-Y gastric bypass. Results of a single surgeon experience with a 5-year follow-up

   20 citations · 2021

Key Collaborators

Contact & Links