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Courses / Medicine / COMMFAM

COMMFAM 401C

Sub-Internship in Family Medicine

Emma Par

Description from DukeHub

Sub internship in Family Medicine. This course provides senior medical students with an intense patient and population-oriented clinical rotation with responsibilities and autonomy similar to that of an intern. This clerkship will provide a unique opportunity to participate in the departments effort to test new models of care in the delivery of team-based chronic disease management in the ambulatory and community setting. Students will see patients supervised by senior faculty at Duke Family Medicine Center and have an opportunity to see patients with the duke family medicine residents in clinic and the long-term care setting. Each clerk will participate in a PDSA project in conjunction with the Population Health team. At least 50% of the rotation will be direct clinical care in the Duke Family Medicine Center. Students also have the opportunity to rotate on the Family Medicine Inpatient Service and Maternal and Child Health Service. These opportunities will allow students to work with the duke family medicine residents to see patients in the inpatient setting. The remaining will occur with the Population Health Resident, independent projects, home visits, or long-term care facility. Clinical instruction and supervision on each patient encounter are provided by senior level house staff and faculty members of the Department of Community and Family Medicine. Students are advised to contact the department as early as possible for course approval (at least eight weeks in advance). No drops are permitted within 60 days of the first day of the rotation. Priority will be given to students with an interest in a career in primary care. For more information, please contact the Coordinator of Medical Student Programs, Gretchen Oakley, or (contact listed in DukeHub). Permission is required. Credit: 5. Enrollment: max 2 per session. Emma Par, MD; and Nancy Weigle, MD

Skills

AI-resilient: 2 of 5

  • Yes: Physical, lab or field work · "sub-internship"
  • Yes: Live work with people · "patient"
  • 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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