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Problem: Visual racism refers to both the underrepresentation and inappropriate representation of darker skin types in medical education. By not teaching medical students and resident physicians to recognize common conditions in darker skin, it perpetuates biases that contribute to healthcare disparities for racial and ethnic minoritized groups. In this paper we describe our efforts to engage in institutional anti-racism work by addressing imbalances in representation of darker skin types in visual teaching images within our institution’s curriculum. Intervention: We initially surveyed preclinical medical students regarding their perceptions of skin color representation in two courses. Researchers recorded the skin types of all teaching photographs in these courses in 2020. We then provided feedback and education to faculty, proposing that they increase brown and black skin color representation in educational content. During 2021, we reviewed the same courses and surveyed students again to ascertain the implementation and impact of our proposal. Context: We applied our intervention to two courses, Host & Defense (H&D) and Skin, Muscle, Bone, and Joint (SMBJ) since both courses utilize a large number of teaching images. Impact: From 2020 to 2021, both H&D and SMBJ significantly increased the proportion of visual teaching images that included darker skin types, with an increase from 28% to 42% in H&D and 20% to 30% in SMBJ. Significantly more students in the courses’ 2021 iterations (73% in H&D, 93% in SMBJ) felt that lectures had appropriate representations of darker skin types when compared to students who took the course in 2020 (8% in H&D, 51% in SMBJ). Students in 2021 felt more confident in recognizing dermatological signs and symptoms in patients with darker skin than students in 2020. The majority of students in both 2020 and 2021 reported wanting to see a gradient of skin types for every dermatological condition discussed. Lessons learned: Our work suggests that addressing visual racism can be achieved partly by setting expectations for increased visual representation, collaborating across educational departments, and establishing clear metrics for assessing implementation. Future interventions will require a continual feedback loop of monitoring learning material, assessing faculty and student perception, refining resources, and recommending revisions to improve visual representation across the entire curriculum.
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