Robotic arm assisted total knee arthroplasty workflow optimization, operative times and learning curve
Luis Grau, Max Lingamfelter, Danielle Y. Ponzio, Zachary D. Post, Alvin Ong, David Le, Fabio Orozco
- Year
- 2019
- Citations
- 53
- Access
- Open access
Abstract
Robotic arm assisted total knee arthroplasty (RTKA) has many potential benefits including advanced preoperative templating, restoration of mechanical alignment, accuracy of bony resection, robust safety mechanisms, and dynamic gap balancing. One of the most frequently quoted drawbacks preventing experienced surgeons from adopting this technology is the perceived increase in surgical time. This technique paper outlines the general concepts used to improve operating room efficiency as well as the step-by-step workflow to consistently perform RTKA with surgical times under 60 minutes. Although the clinical and functional results of RTKA are just beginning to be described in literature, this manuscript demonstrates that with proper technique and workflow, surgical time should not be a significant factor to deter surgeons from adopting this new technology.
Keywords
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