Kayahan Kayikci

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About

Kayahan Kayikci is a researcher whose work lies at the intersection of health economics, orthopedic surgery, and medical technology assessment. His primary research focus is on evaluating the cost-effectiveness and clinical value of advanced surgical technologies, particularly robotic-assisted unicompartmental knee arthroplasty (UKA). His most-cited paper, a 2021 systematic review titled "Health economic value of CT scan based robotic assisted UKA," synthesizes comparative studies to demonstrate that while robotic-assisted UKA may involve higher upfront costs, it can yield superior long-term value through reduced revision rates and improved patient outcomes. This work is pivotal for surgeons and policymakers weighing the adoption of precision-guided orthopedic procedures. With citations reaching into the broader health economics literature, Kayikci’s analyses help bridge the gap between technological innovation and real-world healthcare budgeting. His contributions are especially notable for their rigorous methodology, offering a clear framework for assessing the economic viability of emerging surgical tools. For students and researchers in health technology assessment, Kayikci’s work provides a model for integrating clinical efficacy with financial sustainability.