Daniel R. Baillie

Papers

Total Citations

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About

Daniel R. Baillie is a surgical researcher whose work focuses on the economic and operational dimensions of robotic-assisted surgery. His most-cited study, "Cost analysis of robotic assisted general surgery cases in a single academic institution" (2022, 10 citations), provides a granular examination of the financial implications of adopting robotic platforms in general surgery. By analyzing direct and indirect costs at a single academic center, Baillie offers critical insights into the trade-offs between technological advancement and healthcare expenditure—a pressing concern for hospitals considering robotic systems. This work contributes to the growing body of evidence on value-based surgical care, helping clinicians and administrators weigh the benefits of precision and minimally invasive techniques against their economic burdens. While his citation count is modest, Baillie’s research addresses a niche yet vital area: the real-world cost-effectiveness of cutting-edge surgical tools. His findings are particularly relevant for academic institutions navigating budget constraints while striving to maintain surgical innovation. For students and researchers in health economics and surgical outcomes, Baillie’s study serves as a foundational reference for understanding how financial analyses can inform clinical decision-making and policy in the era of robotic surgery.