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Courses / Medicine / INTERDIS

INTERDIS 422C

Exploring Medicine: Cross-Cultural Challenges to Medicine in the 21st Century

Rosa Solorzano

Description from DukeHub

The purpose of this course is to promote understanding of the cultural background of the people living in diverse global settings and how history impacts the delivery of healthcare, and the importance of cultural fluency in the delivery of team-based healthcare across settings. The students will gain an understanding of how art, history, literature, geography, ethics and social drivers influence the practice of healthcare in diverse international regions and cultures (mainly in Latinoamerica). The Classes will be given by multidisciplinary faculty from Duke, the University of Colorado, and local experts. Medical Spanish instruction is included in each class to facilitate understanding the culture and facilitate encounters with Spanish speaking patients in our own environments as well as in Honduras. The course will be held as a 2-hour seminar for 12 weeks (begins in early January) with the trip to Honduras as an optional laboratory experience. There will be 20 hours of instruction. For more information, please contact Dr. Solorzano. Students meet for the first day of classes in the School of Nursing Amphitheater, the first Tuesday of the Spring Semester at 6:00 p.m. This selective was approved for third- and fourth-year medical students. Open to MS3 students (with mentor approval) and to MS4 students. Non-direct patient care elective. Credit: 1 Enrollment - up to 15 students. Mitchell T Heflin, MD/MHS; Rosa Solorzano, MD/MPH

Skills

  • clinicalSchool of Medicine clinical course
  • languagesAI review: "Medical Spanish instruction is included in each class"

AI-resilient: 3 of 5

  • Yes: Physical, lab or field work · "laboratory"
  • Yes: Live work with people · "team"
  • Yes: Judgment someone is accountable for · "ethics"
  • No: A craft you practice with your hands or body
  • No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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