An open and flexible framework for computer aided surgical training

Area of Science:

• Medical Education
• Surgical Simulation
• Software Engineering

Background:

• Traditional surgical training faces limitations in objective skill assessment and personalized feedback.
• The increasing complexity of minimally invasive surgery necessitates advanced training tools.

Purpose of the Study:

• To introduce LapSim, a new surgical skills training application.
• To detail the design, architecture, and conceptual framework underpinning LapSim.
• To establish a scalable and robust platform for surgical skills development.

Main Methods:

• Developed a software framework based on a classroom metaphor with distinct student and teacher roles.
• Implemented a centralized database for storing and managing student information, course data, and performance results.
• Integrated features for progress monitoring and comparative analysis against peer and expert benchmarks.

Main Results:

• Successfully designed and developed the LapSim application and its concurrent software framework.
• Established a centralized data management system for comprehensive training records.
• Enabled students to track their performance relative to defined benchmarks.

Conclusions:

• The LapSim framework provides a structured and data-driven approach to surgical skills training.
• The application facilitates objective performance evaluation and personalized learning pathways.
• This innovative platform supports the development of proficient surgical skills in a simulated environment.