Dan Liao
Papers
1
Total Citations
4
H-Index
1
About
Dan Liao is a health systems researcher whose work focuses on the operational and economic dimensions of advanced surgical technology, particularly robotic surgery. His most-cited study, a 2022 retrospective analysis of Da Vinci surgical instrument supply chains, addresses the critical challenge of cost containment in high-tech medical care. By meticulously examining procurement, usage, and waste patterns, Liao identified actionable strategies to reduce expenses without compromising patient outcomes—a pressing concern for hospitals adopting robotic platforms. This work, which has garnered early citations from peers in surgical management and health economics, underscores his ability to bridge clinical practice and administrative efficiency. Liao’s research is especially valuable for hospital administrators and policymakers seeking to balance innovation with fiscal responsibility. His contributions highlight the often-overlooked supply chain as a lever for improving healthcare value, making him a key voice in the ongoing debate over sustainable adoption of costly surgical technologies. As robotic surgery expands globally, Liao’s cost-analysis framework offers a replicable model for institutions striving to deliver cutting-edge care affordably.
Research Focus
Key Achievements
Top Papers
- 1