Papers

2

Total Citations

7

H-Index

2

About

Jeeva Ajith is a surgical outcomes researcher whose work centers on the comparative cost-effectiveness of robotic versus open surgical procedures in gastrointestinal oncology. Her major contributions lie in providing rigorous, data-driven analyses that quantify the true financial burden of robotic surgery, moving beyond simple operative costs to include the full spectrum of perioperative expenses. Her 2024 study on robotic versus open hepatectomy, which has already garnered 5 citations, used a propensity score matched analysis to reveal that robotic approaches can be cost-neutral or even cost-saving when accounting for reduced length of stay and complications. Similarly, her work on robotic gastrectomy systematically evaluated whether the high implementation and maintenance costs of robotic platforms are offset by downstream savings. By applying robust statistical methods to real-world cost data, Ajith’s research equips hospitals and policymakers with the evidence needed to make financially sustainable decisions about surgical technology adoption. Her findings challenge assumptions about robotic surgery’s prohibitive expense, positioning her as a key voice in the ongoing debate over value-based surgical care.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A propensity score matched cost analysis of robotic versus open hepatectomy
5 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: The University of Texas MD Anderson Cancer Center

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago