Papers

3

Total Citations

104

H-Index

3

About

Patricia Mattingly is a leading researcher in the field of robotic surgery and surgical simulation, with a focus on advancing training methodologies for minimally invasive procedures. Her work centers on developing and validating virtual reality (VR) simulators to improve surgeon proficiency and patient outcomes. Mattingly’s major contributions include conducting a seminal comparative analysis of VR robotic surgical simulators, which provided a critical guide for integrating these tools into surgical education. She also pioneered objective assessment models, such as predicting the GEARS (Global Evaluative Assessment of Robotic Skills) score from simulator metrics, enabling more reliable and automated evaluation of surgical performance. Her studies on comparing subjective versus objective assessment tools have further refined how surgical skills are measured, ensuring trainees meet rigorous competency standards. With over 100 citations across her most-cited papers, Mattingly’s research has directly influenced the adoption of simulation-based training in robotic surgery, making her a key figure in bridging technology and surgical education. Her work is essential for researchers and clinicians seeking to enhance surgical training through evidence-based, scalable solutions.

Research Focus

Key Achievements

3
H-Index
3
Papers
104
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
A comparative analysis and guide to virtual reality robotic surgical simulators
40 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: AdventHealth Celebration, Columbia University Irving Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago