Making Learning Visible in the Clinical Team-based Simulations – UROP Spring Symposium 2021

Making Learning Visible in the Clinical Team-based Simulations

Ava Gizoni


Pronouns: She/Her/Hers

Research Mentor(s): Vitaliy Popov, Assistant Professor
Research Mentor School/College/Department: Department of Learning Health Sciences, Michigan Medicine
Presentation Date: Thursday, April 22, 2021
Session: Session 5 (3pm-3:50pm)
Breakout Room: Room 16
Presenter: 4

Event Link


In the medical field, the technique of “breaking bad news” is incredibly important for future doctors and social workers to practice and receive meaningful feedback on. Our research team transcribed, analyzed, and interpreted over 150 medical simulation videos to analyze body language, tone of voice, and responses to see how students reacted to feedback from debriefers. A methodology was employed for multimodal sentiment analysis, which consists of gathering sentiments from available simulation videos by extracting audio, visual, and textual data features as sources of information. Then, this information can be used to predict and analyze a trainee’s emotional states when receiving feedback. As this study is still in process, conclusive findings cannot be stated but thus far the findings show a range of different reactions to the feedback ranging from negative deactivating to positive activating. Overall, the goal is to optimize the feedback given in order to fully prepare future medical professionals for the critical task of delivering bad news. This research is valuable to the future of medical education, as analyzing the quality of feedback given can help to optimize these patient simulations and better prepare medical students for real-life situations.

Authors: Vitaliy Popov, Ava Gizoni
Research Method: Computer Programming

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