Tailored Practical Simulation Training in Robotic Surgery: A New Educational Technology
Takashi Eguchi, Masatoshi Shimura, Shuji Mishima, Daisuke Hara, S. Matsuoka, Hirotaka Kumeda, Kentaro Miura, Kazutoshi Hamanaka, Kimihiro Shimizu
- Year
- 2023
- Citations
- 6
- Access
- Open access
Abstract
Purpose: We aimed to create a tailored robotic surgery training program that addresses current challenges, enhances patient outcomes, and focuses on skills, knowledge, and strategy. Description: This study assesses the strengths and weaknesses of existing robotic surgery training methods and proposes a personalized simulation training approach for specific surgical situations. The program emphasizes technical and manual skill development, a robust medical knowledge foundation, and strategic planning using the development, demonstration, discussion, and sharing (3DS) concept. Evaluation: Traditional training challenges, such as on-the-job training, animal models, and cadavers, are identified and addressed. The proposed tailored practical simulation training provides a cost-effective, realistic surgical experience, allowing surgeons to learn in a controlled environment and improving patient outcomes. Conclusions: This comprehensive training program aims to enhance surgical outcomes and patient care in the rapidly evolving field of robotic surgery. Continuous education, industry collaboration, and knowledge sharing are vital to staying current with advances and optimizing surgical techniques and practices.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002