Henry Ford Health is one of the nation’s largest and most respected healthcare providers located in Detroit, Michigan. At Henry Ford Health, medical professionals and expert researchers collaborate to develop and adopt new healthcare technologies. The partnership made between Henry Ford Health Innovations and Michigan State University advances medical education and improves patient well-being.

Many modern surgical techniques involve the use of some robotic components. Modern learners have an advantage in robotic operation due to the proliferation of technology in recent years. Modern students achieve high proficiency in robotic operation faster than previous generations, and therefore the training systems for robotic surgery tools need to be updated.

Currently, each completed training run requires a review from an expert-level provider, costing the healthcare system money and costing surgeons time.

Our Modernizing Robotic Surgery Education system reduces how many trials it takes a modern learner to gain expert-level status for each educational task. This reduces training time for learners and saves valuable time for surgeons who review the training.

Using statistical analysis and machine learning technology on robotic surgery training data, our dashboard displays visuals that find the most effective training modules and predict success rates of residents based on metrics collected from the robotic surgery console.

Our system identifies redundancies in the robotic training program, reducing training time and saving money.

Scikit-learn is used to identify the most important metrics that indicate success for surgeons as they complete various training tasks. The dashboard is developed by importing this data into Microsoft PowerBI.