Publication
Targeting Implicit Bias in Medicine: Lessons from Art and Archaeology
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- Last modified
- 05/21/2025
- Type of Material
- Authors
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Amy Zeidan, Emory UniversityAnne Tiballi, University of PennsylvaniaMelanie Woodward, University of PennsylvaniaIsha Maria Di Bartolo, Rowan University
- Language
- English
- Date
- 2020-01-01
- Publisher
- eScholarship
- Publication Version
- Copyright Statement
- © 2020 Zeidan et al.
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 21
- Issue
- 1
- Start Page
- 1
- End Page
- 3
- Grant/Funding Information
- None declared
- Abstract
- Implicit bias training is not currently a required component of residency education, yet implicit bias in medicine exists and may influence care provided to patients. We propose an innovative exercise that allows trainees to explore implicit bias outside of the clinical environment, in an interdisciplinary manner with museum anthropologists and archaeologists. The curriculum was designed with leaders at the Penn Museum and focuses on differentiating between objective and subjective assessments of historical objects. The first part of the exercise consists of a pre-brief, to introduce trainees to bias through the lens of an anthropologist/archaeologist. The second part guides trainees through "deep description," where they explore objective and subjective findings of three different objects. The exercise concludes with a debrief and application of concepts learned to everyday clinical practice. This innovation was successful at introducing trainees to implicit bias in a nontraditional environment, and participants reported an improved understanding of implicit bias. Residency programs could consider partnering with local museums to implement a similar exercise as a component of conference curriculum.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Health Care Management
- Education, Art
- Sociology, Public and Social Welfare
- Anthropology, Medical and Forensic
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Publication File - vmd65.pdf | Primary Content | 2025-04-28 | Public | Download |