Faculty/Clinicians/Staff: Prof. Amy Cohn, Dr. Brian George, Dr. Rishindra Reddy
Students: Fumiya Abe-Nornes, Samir Agarwala, Dean Golan, Che-Yi Liao, Luke, Liu, Simran Malik, James McAullife, Amanda Naccarato, Hannah Strat, Simran Malik, Yin Yin,
Project Contact: email@example.com
Recent studies conducted in the field of surgical competency suggest that the systems in place to train surgical trainees may not adequately prepare all residents to perform surgeries independently. It’s not a simple question of whether trainees are competent or not competent; competency falls on a spectrum. We are developing simulation-based tools to study in greater detail how different trainees develop competency and to analyze ways in which this can be improved. Specifically, we consider the different learning styles among trainees, that skills can be transferred from one procedure to another, and that due to randomness, trainees will receive a different number of opportunities to perform a procedure. Thus, our simulation tool will enable us to predict the varying levels of competency achieved by the current training model as well as analyzing the potential of other training models.
Papers, Posters, & Presentations:
- “One size does NOT fit all: How do we design surgical training programs to recognize that different residents achieve competency at different rates?” CHEPS Symposium, Ann Arbor MI, November 2019.
- “How simulation can be used to ensure optimal training of future surgeons,” Engineering Research Symposium, Ann Arbor MI, October 2019.
- “Computer Simulation Modeling of a Competency Based Surgical Training Paradigm,”
MCubed Symposium, Ann Arbor MI, July 2019.
- “Incorporating Individualized Learning Styles in Surgical Training to Enhance Competency,” Healthcare Systems Process Improvement Conference, Savannah GA, February 2020.