Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency,...

Area of Science:

• Orthopedic Surgery
• Medical Simulation
• Digital Health

Background:

• Individualized alignment techniques are crucial for total knee arthroplasty (TKA) but transitioning to these methods using computer/robotic assistance presents challenges.
• Educating surgeons on diverse modern alignment philosophies and their unique anatomical variations is essential for improving patient outcomes.

Purpose of the Study:

• To develop and evaluate a digital training platform using real patient data for simulating various TKA alignment philosophies.
• To assess the impact of the training tool on surgeon process quality, efficiency, and confidence in adopting new alignment techniques.

Main Methods:

• Development of a web-based interactive TKA computer navigation simulator (Knee-CAT) using 1000 patient datasets.
• Implementation of quantitative decision-making for bone cuts linked to gap values and 11 distinct alignment workflows.
• Assessment of 40 surgeons' performance (process quality, efficiency) before and after two training courses on the platform.

Main Results:

• Process quality, measured by correct decision percentage, significantly increased from 45% to 87.5% after training.
• Surgical training efficiency improved, with time spent per exercise decreasing by 42% (from 4:28 to 2:35).
• Surgeons reported high helpfulness ratings for the tool, valuing the stress-free learning environment and improved confidence in new alignment philosophies.

Conclusions:

• A novel digital simulation tool (Knee-CAT) effectively facilitates case-based learning of TKA alignment philosophies.
• The simulation platform, combined with training, enhances surgeon confidence, skill acquisition, and time efficiency in making correct alignment decisions.
• This technology offers a valuable, stress-free method for surgeons to master advanced TKA alignment techniques outside the operating room.