Max Lingamfelter
Papers
1
Total Citations
53
H-Index
1
About
Max Lingamfelter is a leading researcher in orthopedic surgery, with a primary focus on robotic arm assisted total knee arthroplasty (RTKA) and surgical workflow optimization. His most cited work, "Robotic arm assisted total knee arthroplasty workflow optimization, operative times and learning curve" (2019, 53 citations), represents a landmark contribution to the field by systematically addressing one of the most frequently cited barriers to RTKA adoption: prolonged operative times. Lingamfelter's research provides critical insights into the learning curve associated with robotic-assisted procedures, demonstrating how structured workflow optimization can reduce surgical duration while maintaining the technology's well-documented benefits—including advanced preoperative templating, mechanical alignment restoration, and enhanced safety mechanisms. His work has helped bridge the gap between the theoretical advantages of robotic assistance and practical clinical implementation, making him a key figure in the ongoing evolution of joint replacement surgery. By quantifying the learning curve and offering evidence-based strategies for efficiency, Lingamfelter has directly influenced surgical training protocols and operating room practices, ultimately improving patient access to precision-guided arthroplasty.
Research Focus
Key Achievements
Top Papers
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