Robotic Surgical Training at Home: A Low-Fidelity Simulation Method.

Area of Science:

• Surgical Education
• Minimally Invasive Surgery
• Robotic Surgery Simulation

Background:

• Laparoscopic box simulators are valuable for practicing basic surgical skills.
• High-fidelity simulators exist for robotic surgery training, but a low-fidelity alternative is lacking.
• New methods are needed to introduce fundamental robotic surgery skills before console use.

Purpose of the Study:

• To introduce a novel, low-fidelity simulation method for robotic-assisted surgery training.
• To enable trainees to learn fundamental skills, including needle handling and knot tying, prior to console experience.

Main Methods:

• Developed a user-friendly simulation tool using two fine-point metal tweezers with Velcro loops.
• These tools mimic the controllers of a robotic surgical console.
• The method facilitates practice of basic needle handling and intracorporeal knot tying.

Main Results:

• The tool aims to improve initial dexterity and economy of motion for surgical trainees.
• Anecdotal evidence suggests improved surgical confidence and experience before performing actual robotic cases.
• The method provides a foundational skill-building opportunity for those new to robotic surgery.

Conclusions:

• A low-fidelity simulation method can potentially enhance initial proficiency in robotic-assisted surgery.
• Further performance studies are required to validate the effectiveness of this simulation technique.
• This approach offers an accessible and cost-effective way to build foundational robotic surgery skills.