DEA-based efficiency evaluation of a novel robotic system for femoral neck surgery

Background: Efficiency evaluation is important for expanding the acceptance and deployment of medical robots, but it is still an open issue. In this study, a data envelopment analysis (DEA)-based method was proposed and implemented with a novel robotic system for femoral neck surgery. Methods: Femoral neck surgeries with and without the assistance of the robotic system were modelled as decision-making units (DMUs). C²R model was chosen to calculate the relative efficiency. Results: Clinical simulation experiments were performed with 12 Sawbone models and 24 cadaveric femurs, and 19 clinical cases were chosen to be the control group. The minimum value of the robotically assisted surgery was 1, and the minimum value of the traditional surgery was 0.741535, demonstrating the efficiency of the robotic system. Conclusion: This research showed that DEA-based efficiency evaluation is practical for medical robotic systems.