Papers
11
Total Citations
619
H-Index
10
About
Mohamed Sharif is a leading researcher in the field of robotic surgery, with a primary focus on surgical education, team dynamics, and patient outcomes. His groundbreaking work includes the development and validation of the Fundamental Skills of Robotic Surgery (FSRS) curriculum, a simulation-based training program that has become a cornerstone for assessing and teaching robotic surgical proficiency. Through multi-institutional randomized controlled trials, Sharif demonstrated the curriculum's effectiveness, earning over 185 citations for his seminal 2013 paper. He has also pioneered the study of cognitive performance and non-technical skills in the operating room, analyzing how surgeons' mental workload, team communication, and physical movements impact surgical safety and efficiency. His research on team dynamics during robot-assisted surgery has garnered over 60 citations per paper, highlighting the critical role of human factors in high-stakes environments. Additionally, Sharif has contributed to patient-reported outcomes, including health-related quality of life after robotic cystectomy, and developed the Robotic Anastomosis Competency Evaluation (RACE) tool for assessing surgical skill. His work bridges engineering, psychology, and clinical practice, making him a key figure in advancing safer, more effective robotic surgery.
Research Focus
Key Achievements
Top Papers
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- 3Understanding Cognitive Performance During Robot-Assisted Surgery67 citations · 2015
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- 8Technical mentorship during robot‐assisted surgery: a cognitive analysis29 citations · 2016
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