The learning curve for robotic-assisted total hip arthroplasty in low, medium, and high-volume surgeons

低、中、高手术量外科医生进行机器人辅助全髋关节置换术的学习曲线

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Abstract

BACKGROUND: Robotic systems have been designed to increase the accuracy of implant alignment in total knee and hip arthroplasty. This technology is associated with a learning curve for the operative time to reach peak efficiency in its use. Prior studies done on high-volume orthopedic surgeons have suggested a learning curve of 14-35 cases for robotic-assisted total hip arthroplasty (THA). It is unclear if this learning curve is different for surgeons with lower volumes. METHODS: Data was collected retrospectively from 299 THA procedures done by three different surgeons, with low (1-15 cases/year), medium (16-50), and high (51+) volume caseload. The learning curve was assessed primarily by average operative time from cases 1-20, 21-50, and 51+. RESULTS: The high-volume surgeon had a learning curve of 20 cases, while the low and medium volume surgeons had no significant decrease in their operative time through the cases included in the study (20 and 63, respectively). CONCLUSIONS: High volume surgeons have a learning curve of about 20 cases, while low and medium volume surgeons have a longer curve, which was not able to be measured in this study.

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