Joel Baumgartner

UC San Diego Health System

Papers

1

Total Citations

12

H-Index

1

About

Joel Baumgartner is a pioneering researcher in robotic surgery and surgical simulation, with a focus on developing objective methods to assess surgical proficiency. His most-cited work, "Virtual reality suturing task as an objective test for robotic experience assessment" (2015, 12 citations), introduced a novel approach using a single virtual-reality suturing module to evaluate a surgeon's functional skill with robotic systems. This pilot study laid critical groundwork for creating standardized, adjunctive tests that surgical proctors can use to objectively measure robotic experience, moving beyond subjective evaluations. Baumgartner's contributions are particularly impactful in the field of surgical education, where his research addresses the pressing need for reliable metrics to train and credential surgeons in robotic-assisted procedures. By demonstrating that a focused virtual task can differentiate levels of expertise, he has helped shape the design of simulation-based assessments that enhance patient safety and surgical training. His work continues to influence how institutions integrate virtual reality into robotic surgery curricula, making him a key figure in advancing both the technology and pedagogy of modern minimally invasive surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Virtual reality suturing task as an objective test for robotic experience assessment
12 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: UC San Diego Health System

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago