About

Khara Simpson is a pioneering researcher in robotic and minimally invasive gynecologic surgery, with a focus on surgical skill assessment, simulation, and operative innovation. Her landmark work on crowd-sourced assessment of technical skills demonstrated that non-expert evaluators can reliably differentiate surgical proficiency, offering a scalable, cost-effective alternative to traditional expert review—a contribution cited over 85 times. She has also advanced telesurgery by quantifying how network delay impacts robotic performance, and validated robotic simulators like the dV-Trainer for training and credentialing. Simpson’s clinical contributions include defining essential steps for robotic-assisted laparoscopic hysterectomy and comparing carbon dioxide absorption rates in valveless versus standard insufflation systems through a randomized trial. More recently, she has explored pain management via laparoscopic bupivacaine administration and assessed the feasibility of minimally invasive higher-order myomectomy. With over 230 combined citations, Simpson’s work bridges simulation, surgical education, and patient outcomes, making her a key voice in the evolution of robotic gynecology.

Research Focus

Key Achievements

5
H-Index
7
Papers
232
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Crowd-Sourced Assessment of Technical Skills: Differentiating Animate Surgical Skill Through the Wisdom of Crowds
85 citations · 2015
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: AdventHealth Orlando, AdventHealth Celebration, Columbia University Irving Medical Center, Mount Sinai Hospital, Johns Hopkins University, Johns Hopkins Hospital

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago