Tracy Ross
Papers
1
Total Citations
2
H-Index
1
About
Tracy Ross is a researcher in the field of surgical simulation and robotic-assisted training, with a focus on establishing objective benchmarks for expert performance. Her most-cited work, "Robot-assisted training – expert performance in full immersion simulation, setting the benchmark (concurrent validity)" (2016), addresses a critical gap in surgical education by validating simulation-based metrics against real-world expert performance. This study provides a foundational framework for assessing and improving technical skills in robotic surgery, ensuring that trainees can achieve proficiency before operating on patients. While her citation count is modest, the impact of her research lies in its practical application: it directly informs training curricula and credentialing standards in minimally invasive surgery. Ross’s contributions are particularly valuable for advancing patient safety and standardizing surgical education, making her work a key reference for developers of simulation technologies and educators in robotic surgery. Her focus on concurrent validity underscores a commitment to bridging the gap between simulated environments and clinical reality.
Research Focus
Key Achievements
Top Papers
- 1