Phillip Schmitt

Brown University

Papers

1

Total Citations

8

H-Index

1

About

Phillip Schmitt is a clinical researcher whose work centers on surgical outcomes and quality improvement in urologic oncology, with a particular focus on robotically assisted laparoscopic radical prostatectomy (RALP) for prostate cancer. His major contribution lies in leveraging large-scale national datasets—such as the National Surgical Quality Improvement Program (NSQIP)—to systematically identify risk factors and epidemiological trends in postoperative complications. His most cited paper, "Epidemiology of and Risk Factors in Postoperative Complications from Robotically Assisted Laparoscopic Radical Prostatectomy in Contemporary National Surgical Quality Improvement Program Data" (2024, 8 citations), provides a rigorous, data-driven analysis that informs quality assurance efforts for the gold-standard surgical treatment of localized clinically significant prostate cancer. By pinpointing specific patient and procedural variables linked to adverse outcomes, Schmitt’s work helps surgeons refine preoperative risk stratification and perioperative care, ultimately aiming to reduce complication rates. His research exemplifies the growing importance of real-world evidence in surgical practice, offering actionable insights that bridge the gap between high-volume surgical data and individualized patient safety. For students and researchers, Schmitt’s approach demonstrates how epidemiological methods can directly enhance clinical decision-making and surgical quality.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Epidemiology of and Risk Factors in Postoperative Complications from Robotically Assisted Laparoscopic Radical Prostatectomy in Contemporary National Surgical Quality Improvement Program Data
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Brown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago