Papers

5

Total Citations

214

H-Index

4

About

Christina Cool is a health economics researcher whose work has made significant contributions to the field of orthopedic surgery, particularly in evaluating the cost-effectiveness and clinical outcomes of emerging surgical technologies. Her research focuses primarily on robotic-arm assisted joint arthroplasty, with a special emphasis on total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA). Cool's most influential work centers on rigorous economic analyses of robotic-assisted versus manual surgical techniques, employing large-scale Medicare datasets and sophisticated propensity score matching methodologies to ensure robust, clinically meaningful comparisons. Her 2019 study on 90-day episode-of-care costs for robotic-arm assisted TKA has garnered 108 citations, establishing it as a foundational reference for healthcare administrators, surgeons, and policymakers evaluating the adoption of robotic surgical platforms. Complementary studies examining healthcare utilization at 30-, 60-, and 90-day intervals, alongside a revision analysis of robotic versus manual UKA, have collectively accumulated over 100 additional citations. By illuminating the financial and utilization implications of robotic surgery across multiple time horizons, Cool's research provides critical evidence to guide cost-containment strategies and optimize care pathways, making her work indispensable for institutions navigating the economics of advanced orthopedic technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
214
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
A 90-day episode-of-care cost analysis of robotic-arm assisted total knee arthroplasty
108 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Baker Engineering (United States), Pankey Institute, The Core Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago