Measuring and Improving the Technical Performance of Robotic Surgery
Associate Professor of Urology at the University of Michigan, Khurshid Ghani, MBChB, MS, FRCS(Urol) presented this topic at the Robotic Surgeons Council of India, November, 2017. He was awarded the “Best Paper in Robotic Surgery for 2017” in European Urology. (The award is sponsored by the Vattikuti Foundation.) Dr. Ghani spent two years at the Vattikuti Urology Institute as a Fellow under Dr. Mani Menon, before accepting his post at the University of Michigan.
In his introduction, Dr. Ghani tells the audience that while he refers to the the robotic prostatectomy, “Everything I speak about can be translated to other specialties.” He talks about how a state-wide prostate cancer database in Michigan called MUSIC (Michigan Urological Improvement Collaboration) is used to improve surgeon performance and patient care. He gives examples of peer-review provided by surgeons enrolled in the MUSIC program, but also of “Crowd Sourcing” studies of robotic surgery videos on amazon.com.
He shares some University of Michigan research about machine learning being done on robotic surgery currently. Major takeaways from Dr. Ghani’s session are that surgeons need to have feedback and coaching on their patient outcomes and technique and- must “keep learning.”
Lecture, with PowerPoints and robotic surgery videos, 21:37