Kevin Shamash
Papers
3
Total Citations
27
H-Index
2
About
Kevin Shamash is a leading researcher in the application of human factors engineering to robotic surgery, with a specific focus on improving operating room (OR) efficiency. His work systematically addresses the critical challenge of turnover time—the period between surgical cases—which is often magnified in robotic procedures due to increased technological complexity. Shamash’s major contribution lies in bridging the gap between perceived and actual barriers to efficiency. In his highly cited 2020 study (16 citations), he revealed significant discrepancies between staff perceptions and real-world data, laying the groundwork for targeted interventions. He then developed and validated a human factors approach to redesign OR workflows, as detailed in his 2022 paper (10 citations), which provides a systematic, data-driven framework for reducing turnover times. His research has been instrumental in demonstrating that applying human-centered design principles can streamline complex perioperative environments, leading to tangible improvements in surgical throughput. By combining rigorous observational methods with practical engineering solutions, Shamash has established himself as a key figure in the movement to make robotic surgery more efficient and cost-effective.
Research Focus
Key Achievements
Top Papers
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