Jyothi R. Thumma

University of Michigan–Ann Arbor

Papers

8

Total Citations

300

H-Index

6

About

Jyothi R. Thumma is a health services researcher specializing in minimally invasive and robotic-assisted surgery, with a particular focus on comparative safety, surgical outcomes, and the adoption patterns of emerging surgical technologies. Her work sits at the critical intersection of surgical innovation and evidence-based medicine, rigorously evaluating whether the rapid clinical uptake of robotic surgery translates into genuine patient benefit. Thumma's most influential contributions center on cholecystectomy and ventral hernia repair. Her landmark 2023 study comparing robotic-assisted and laparoscopic cholecystectomy (164 citations) provided some of the most rigorous evidence to date on their relative safety profiles, while subsequent work examining bile duct injury rates and patient complexity has helped contextualize those findings within real-world clinical practice. Her parallel investigations into ventral hernia repair — including learning curve analyses for both cholecystectomy and hernia procedures — have shed important light on the surgical experience required before robotic approaches deliver outcomes comparable to established techniques. Beyond individual procedures, Thumma has documented broad national trends in robotic surgery adoption across Medicare and privately insured populations. With a growing body of work accumulating nearly 300 citations in just a few years, her research is increasingly shaping how surgeons, hospitals, and policymakers evaluate the value and appropriate deployment of robotic surgical systems.

Research Focus

Key Achievements

6
H-Index
8
Papers
300
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Comparative Safety of Robotic-Assisted vs Laparoscopic Cholecystectomy
164 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago