Joey de Hondt
Papers
1
Total Citations
5
H-Index
1
About
Joey de Hondt is a surgical researcher focused on advancing robotic training methodologies, particularly in hepatobiliary and pancreatic surgery. His work centers on optimizing how surgeons acquire complex robotic suturing skills, addressing the critical gap between simulation-based education and operative proficiency. In his landmark 2024 study, the ROSIM randomized controlled crossover trial, de Hondt directly compared robotic simulation against dry-lab suturing for teaching hepaticojejunostomy—a technically demanding procedure. This work, already garnering 5 citations in its first year, provides evidence-based guidance for training curricula, weighing the cost-effectiveness of simulation against the hands-on fidelity of suture-pads. By rigorously testing crossover designs, de Hondt has helped define efficient, scalable pathways for novice surgeons to master robotic suturing. His contributions are particularly timely as robotic surgery expands globally, creating urgent demand for validated training protocols. Through methodologically sound trials, de Hondt is shaping how future surgeons are prepared for the operating room, ensuring that technical excellence is achieved without unnecessary resource expenditure.
Research Focus
Key Achievements
Top Papers
- 1