Papers

4

Total Citations

30

H-Index

3

About

Lilia Purvis is a rising leader in surgical data science, whose work is transforming how we understand and evaluate robotic surgery. Her research centers on objective performance indicators (OPIs) and standardized workflow analysis, with a particular focus on dual-console robotic proctectomy and gynecologic procedures. Purvis’s major contributions include developing the “Ratio of Economy of Motion,” a novel OPI that for the first time allows reliable assignment of console-specific metrics during dual-console procedures—a critical step for training and assessment in collaborative robotic surgery. Her 2023 paper on this topic has already garnered 15 citations, signaling its immediate impact. She also spearheaded the creation of the first clinical temporal annotation guide library for ten robotic procedures, paired with a standardized ontology framework, enabling scalable, consistent video analysis across institutions. Her 2025 paper on this framework has earned 7 citations in under a year. Additionally, her 2024 work quantifying surgical workflow during robotic proctectomy and her pilot study on robot-assisted hysterectomy demonstrate her commitment to bringing objective, data-driven assessment to surgical education. Purvis is building the foundational tools for a future where surgical skill and efficiency can be measured, compared, and improved with unprecedented precision.

Research Focus

Key Achievements

3
H-Index
4
Papers
30
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Ratio of Economy of Motion: A New Objective Performance Indicator to Assign Consoles During Dual-Console Robotic Proctectomy
15 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Intuitive Surgical (United States), Intuitive Surgical (Switzerland)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago