Kalyan S. Pasupathy
Mayo Clinic in Florida, Twitter (United States), Mayo Clinic in Arizona, Allina Health
Papers
5
Total Citations
92
H-Index
3
About
Kalyan S. Pasupathy is a health systems engineer whose work bridges clinical decision-making and surgical quality improvement. His primary research focuses on optimizing surgical route selection for hysterectomy, particularly through the development and validation of clinical decision-tree algorithms. Pasupathy’s most impactful contribution is a series of studies demonstrating how a structured algorithm can increase the rate of vaginal hysterectomy—the safest, most cost-effective approach—while reducing unnecessary robotic surgeries. His landmark 2016 paper, “Determining Optimal Route of Hysterectomy for Benign Indications,” has garnered 48 citations and established a framework that has been prospectively implemented and evaluated in subsequent work (30 citations). By translating complex clinical guidelines into actionable, evidence-based tools, Pasupathy has directly influenced surgical practice patterns and patient outcomes. His work exemplifies the power of systems engineering in medicine, showing how algorithmic decision support can reduce variability, improve safety, and lower healthcare costs. For students and researchers, Pasupathy’s career offers a compelling model of how to design, implement, and rigorously evaluate interventions that bridge the gap between evidence and everyday clinical care.
Research Focus
Key Achievements
Top Papers
- 1Determining Optimal Route of Hysterectomy for Benign Indications48 citations · 2016
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