Sietske Witvoet
Stryker (United States), Stryker (Netherlands), AnMed Health
Papers
4
Total Citations
46
H-Index
4
About
Sietske Witvoet is a rising leader in orthopaedic outcomes research, specializing in the comparative effectiveness of robotic-assisted versus manual techniques in total knee and hip arthroplasty. Her work harnesses large, real-world datasets and machine learning to answer critical questions about surgical efficiency, patient recovery, and postoperative safety. In her highly cited 2023 study, she demonstrated how machine learning models can predict operative time in robotic-assisted total knee arthroplasty, offering a pathway to improved staff utilization and operating room efficiency. Her subsequent propensity-matched analyses—each garnering over a dozen citations—have provided robust evidence that robotic-assisted total hip and knee arthroplasty are associated with favorable length of stay, discharge disposition, and 90-day complication and readmission rates compared to manual techniques. By leveraging multicenter, real-world data, Witvoet’s research directly informs surgical decision-making and hospital resource planning. Her growing body of work, with papers published in 2023 and 2024, marks her as a key contributor to the evidence base shaping the future of robotic orthopaedic surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4