Adoption and implementation of robotic colorectal surgery using structured training approach: an experience from tertiary referral center
Mahmood Al‐Dhaheri, Reem Mubarak, Ali Toffaha, Noof Al Naimi, Ayman Ahmed, Mohamed Abunada, Amjad Parvaiz
- Year
- 2025
- Citations
- 1
- Access
- Open access
Abstract
Robotic colorectal surgery is rapidly growing field. It offers potential benefits over laparoscopy and these benefits are best realized with proper training. This study reports the outcomes of our first 150 consecutive cases of robotic colorectal surgery following standardized training program. Prospectively collected data for the first consecutive 150 robotic colorectal surgery procedures were analyzed for short-term outcomes. The training program followed the curriculum of the European Academy for Robotic Colorectal Surgery (EARCS) which included theoretical knowledge, online simulator training, console and bedside skills training under direct expert supervision, and objective assessment using the Global Assessment Score (GAS) form. 133/150 (89%) cases were for colorectal cancer with 61% of cases performed for rectal cancer. Two-thirds of the patients were male, median age of 54 years (range 29-87) and BMI of 28.5 (range 21-57). All procedures (n = 150) were performed by three surgeons. There were no mortalities or conversions to open or laparoscopy. Anastomotic leak rate was 1.3% and the overall R0 resection was achieved in 95.5% of cases. Standardized training program expedited the safe adoption of robotic colorectal surgery in our center with satisfactory oncological and clinical short-term outcomes. This study contributes valuable data on the safe adoption of robotic colorectal surgery and the application of standardized training program in the Middle East and other regions.
Keywords
Related papers
Robots and Jobs: Evidence from US Labor Markets
Daron Acemoğlu, Pascual Restrepo
2019
Artificial Intelligence in Education: A Review
Lijia Chen, Pingping Chen, Zhijian Lin
2020
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz +8 more
2012
Campbell-Walsh urology
Alan J. Wein editor-in-chief
2012