Papers

2

Total Citations

41

H-Index

2

About

Erik Lund is a researcher whose work centers on the safety and reliability of robotic surgical systems, with a particular focus on the Da Vinci Surgical System. His major contributions involve the systematic analysis of adverse events reported in the FDA’s Manufacturer and User Facility Device Experience (MAUDE) database. Lund developed a standardized classification scheme to categorize complications and machine failures, providing a critical framework for understanding the risks associated with robotic-assisted surgery. His most cited paper (2016, 37 citations) details this classification system, while an earlier study (2013, 4 citations) cataloged 855 adverse events linked to the Da Vinci system. This work has been instrumental in highlighting the importance of post-market surveillance for medical devices, offering valuable insights for surgeons, patients, and regulatory bodies. By bringing transparency to device-related complications, Lund has helped advance the conversation around patient safety in minimally invasive surgery. His research is a key resource for anyone studying the real-world performance and risks of robotic surgical platforms.

Research Focus

Key Achievements

2
H-Index
2
Papers
41
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Development of a Classification Scheme for Examining Adverse Events Associated with Medical Devices, Specifically the DaVinci Surgical System as Reported in the FDA MAUDE Database
37 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Minnesota, Madison Group (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago