Jon E. Hammarstedt

About

Jon E. Hammarstedt is a leading orthopedic researcher whose work centers on the precision and adoption of robotic-assisted total hip arthroplasty (THA). His major contributions have systematically addressed two critical questions in modern joint replacement: how accurately robotic systems place components, and how surgeons can master this technology. His landmark 2014 study on the learning curve for robotic-assisted THA (113 citations) established the number of cases needed for proficiency, providing a roadmap for surgical training. He further demonstrated that robotic navigation significantly improves acetabular cup positioning in obese patients (75 citations), a population at higher risk for malalignment. His 2016 work confirmed that intraoperative robotic data reliably predicts postoperative radiographic outcomes (60 citations), validating the technology’s accuracy. With over 300 cumulative citations, Hammarstedt’s research has been instrumental in moving robotic arthroplasty from novelty to standard practice, offering evidence that these systems can reduce complication rates and improve implant longevity. His work remains essential reading for surgeons and trainees navigating the integration of computer-assisted technology into hip replacement surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   The Learning Curve Associated With Robotic-Assisted Total Hip Arthroplasty

   113 citations · 2014
2. 2
   Does Robotic-Assisted Computer Navigation Affect Acetabular Cup Positioning in Total Hip Arthroplasty in the Obese Patient? A Comparison Study

   75 citations · 2015
3. 3
   Accuracy of Component Placement in Robotic-Assisted Total Hip Arthroplasty

   60 citations · 2016
4. 4
   THE LEARNING CURVE ASSOCIATED WITH ROBOTIC-ASSISTED TOTAL HIP ARTHROPLASTY

   52 citations · 2018

Key Collaborators

Contact & Links