Daniel Yang Yao Peh
Papers
1
Total Citations
9
H-Index
1
About
Daniel Yang Yao Peh is a pioneering researcher in the rapidly evolving field of robotic spine surgery, with a focused expertise in surgical technology assessment and operating room efficiency. His most-cited work, "Does Robotic Spine Surgery Add Value to Surgical Practice over Navigation-Based Systems? A Study on Operating Room Efficiency" (2024, 9 citations), represents a critical contribution to the evidence base guiding the adoption of advanced surgical technologies. This study directly addresses a pivotal question in modern orthopedics: whether robotic systems offer tangible advantages over established navigation-based approaches. By systematically evaluating operating room efficiency, Peh provides surgeons and hospital administrators with actionable data to inform technology investments and workflow optimization. His research bridges the gap between technological innovation and practical clinical implementation, offering insights that are immediately relevant to surgical decision-making. Peh’s work is particularly valuable for its rigorous comparative methodology, setting a standard for future evaluations of emerging surgical technologies. As robotic spine surgery continues to gain traction globally, his findings serve as an essential reference point for researchers and clinicians seeking to maximize the value of these advanced systems in improving patient outcomes and surgical practice efficiency.
Research Focus
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Top Papers
- 1