Weikai Qu
Papers
2
Total Citations
22
H-Index
2
About
Weikai Qu is a surgical outcomes researcher whose work focuses on comparing the effectiveness and costs of robotic versus laparoscopic minimally invasive procedures. His major contributions center on evaluating whether the higher expense of robotic surgery is justified by improved patient outcomes. In a landmark 2019 study analyzing the National Inpatient Sample (NIS) database, Qu demonstrated that robotic sleeve gastrectomy offers similar postoperative outcomes to the laparoscopic approach but at a significantly higher cost—a finding with 14 citations that has informed clinical decision-making in bariatric surgery. He extended this line of inquiry to colorectal surgery in a 2020 analysis of over 6,000 sigmoid colectomies, again finding comparable outcomes between robotic and laparoscopic techniques. Qu’s work is notable for its rigorous use of large, nationally representative databases to provide real-world evidence on surgical value. By systematically questioning the incremental benefit of expensive robotic platforms, his research helps surgeons, hospitals, and policymakers allocate resources more wisely. For students and researchers, Qu exemplifies how database-driven comparative effectiveness research can directly impact surgical practice and healthcare economics.
Research Focus
Key Achievements
Top Papers
- 1
- 2