INTERDIS 403C
Narrative Medicine for Medical Learners
Brian Patrick Quaranta
Description from DukeHub
This elective course is a fourth-year clinical elective where students will discuss selected works of literature that address the human condition in a way that is meaningful to physicians-in-training. The course is open to third and fourth year medical students. The aim is to incorporate literature into the medical training experience, give students the opportunity to practice reflective writing, and the space to explore the humanistic roots of medicine. In this course we will examine the intersection between the domains of narrative and medicine through the study of diverse representations of medical issues. Among the questions we will ask are: how does narrative give us greater insight into illness, medical treatment, doctor-patient relationships, and other aspects of health and medicine? How do illness and other experiences within the realm of medicine influence ways of telling stories? How do doctors' perspectives and patients' perspectives differ, and what, if anything, should be done to close those differences? Attendance to all sessions is mandatory. However, with advanced approval from the course director, a student may miss one session, but the student must submit a written reflection of the readings for the missed session, as outlined by the course director, in order to receive credit for the course. This course will be offered during the first eight weeks of the spring term. The course will meet once a week for eight weeks, on Wednesday evenings, starting in January, from 6:00p - 8:00p. Open to MS3 students (with mentor approval) and to MS4 students. For questions, please contact Dr. Quaranta via email, (contact listed in DukeHub). Credit: 1, Non-Direct Patient Care credit. Enrollment Max.:12; Min. 8. Brian Quaranta, MD
Skills
AI-resilient: 2 of 5
- Yes: Physical, lab or field work · "patient care"
- Yes: Live work with people · "clinical"
- No: Judgment someone is accountable for
- 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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