RoboticSurgery4all: are discovery courses important for robotic surgery skills acquisition?. Gonçalves, M. R., Mück, B., Faure, J., Topart, P., & Sousa, M. C. Journal of Robotic Surgery, 18(1):322, August, 2024.
RoboticSurgery4all: are discovery courses important for robotic surgery skills acquisition? [link]Paper  doi  abstract   bibtex   
Cost, logistics, and availability of robotic simulation opportunities suppose a real challenge for robotic surgery training. We aimed to test a new methodology for introduction to robotic surgery pre-congress courses. Two different “introduction to robotic surgery” pre-congress courses were developed. A new methodology using a sleeve/bypass, a ventral TAPP and an inguinal TAPP silicone models was implemented. After the session, the trainees answered a questionnaire to evaluate the course and the methodology using 1–5 Likert scales. A total of 21 participants participated in the courses and (72.2%) had no experience in robotic surgery. All trainees rated the course as good or excellent. There was a strong agreement between participants regarding the adequacy of the silicone models for this type of simulation/course. Trainees agree that the course gave them more confidence to perform a real robotic procedure, increased their interest in robotic surgery and made them feel ready to start their robotic surgery pathway. Congresses are a frequent way of contact between surgeons and robotic systems, mostly in the form of technical demonstrations or pre-congress courses. Our methodology showed that it is possible to allow for this contact in a low-cost way. This kind of courses is well received by congress delegates and have a positive educational impact. Despite of being "Discovery” courses, they have a positive impact on the congress, on the acquisition of robotic surgery skills and increase the interest in robotic surgery.
@article{goncalves_roboticsurgery4all_2024,
	title = {{RoboticSurgery4all}: are discovery courses important for robotic surgery skills acquisition?},
	volume = {18},
	issn = {1863-2491},
	shorttitle = {{RoboticSurgery4all}},
	url = {https://doi.org/10.1007/s11701-024-02077-4},
	doi = {10.1007/s11701-024-02077-4},
	abstract = {Cost, logistics, and availability of robotic simulation opportunities suppose a real challenge for robotic surgery training. We aimed to test a new methodology for introduction to robotic surgery pre-congress courses. Two different “introduction to robotic surgery” pre-congress courses were developed. A new methodology using a sleeve/bypass, a ventral TAPP and an inguinal TAPP silicone models was implemented. After the session, the trainees answered a questionnaire to evaluate the course and the methodology using 1–5 Likert scales. A total of 21 participants participated in the courses and (72.2\%) had no experience in robotic surgery. All trainees rated the course as good or excellent. There was a strong agreement between participants regarding the adequacy of the silicone models for this type of simulation/course. Trainees agree that the course gave them more confidence to perform a real robotic procedure, increased their interest in robotic surgery and made them feel ready to start their robotic surgery pathway. Congresses are a frequent way of contact between surgeons and robotic systems, mostly in the form of technical demonstrations or pre-congress courses. Our methodology showed that it is possible to allow for this contact in a low-cost way. This kind of courses is well received by congress delegates and have a positive educational impact. Despite of being "Discovery” courses, they have a positive impact on the congress, on the acquisition of robotic surgery skills and increase the interest in robotic surgery.},
	language = {en},
	number = {1},
	urldate = {2024-08-16},
	journal = {Journal of Robotic Surgery},
	author = {Gonçalves, Mário Rui and Mück, Björn and Faure, Jean-Pierre and Topart, Philippe and Sousa, Miguel Castelo-Branco},
	month = aug,
	year = {2024},
	keywords = {Abdominal wall repair, Artificial Intelligence, Bariatric surgery, Education, Robotic surgery, Simulation, Training},
	pages = {322},
}

Downloads: 0