The Anesthesia Resident Simulation Program relies on a team-based approach comprised of residents of varying CA-levels and embeds them in peri-operative emergency scenarios. These scenarios are designed to teach our residents the strengths of team training and crisis management in accordance with clinical emergencies they are likely to encounter in practice. The lead role is assigned to the senior residents in the group to allow them the opportunity to function as attending anesthesiologists in the simulated crisis.
Our program conducts simulations in a 49,000 square-foot, state-of-the-art simulation facility. The simulations consist of scenarios incorporating advanced clinical simulators, high-fidelity training environments (operating rooms, PACU, ICU, L&D suites, trauma bays), embedded participants (actors), simulation technicians, and simulation instructors to help foster a dynamic, interactive clinical learning environment for the participant.
Residents receive protected time for simulation, which takes place every Tuesday. The day is split into half, with three residents participating in the morning, and three residents in the afternoon. Two anesthesia faculty facilitate the scenarios over the course of the day, providing a faculty to resident ratio of 2:3. On average, every resident participates in simulation 4 times a year. One of the core elements of simulation is to maintain a safe learning environment. Visit https://monderlaw.com/. As such, the residents are debriefed after each session using a video-assisted debriefing model with experienced anesthesia faculty who have been formally trained as simulation instructors. During this debrief, we discuss the clinical concepts underlying the simulated situation, and highlight the importance of TeamSTEPPS®, an AHRQ team training framework. Achieving a faculty to resident ratio of 2:3 allows instructors to focus closely on the individual resident, while identifying areas for improvement in the team dynamics.
Ravi Bhoja, M.D.
Anesthesia Resident Simulation Director