OBGYN 407C
Urogynecology and Reconstructive Pelvic Surgery Sub-Internship
Alison C. Weidner
Description from DukeHub
For students preparing for obstetrics and gynecology, general practice, surgery, and urology. Emphasis is placed on the outpatient assessment and inpatient or ambulatory operative management of patients with acute and chronic Urogynecologic disorders including pelvic floor dysfunction, pelvic organ prolapse, urinary and fecal incontinence, and others. Students have the opportunity to work closely with faculty members in the Division of Urogynecology.Time for independent study is planned. The student is expected to utilize this time to review and present a specific clinical problem with frequent guidance and input from a member of the Uroynecology Division with similar interests. Contact: (contact listed in DukeHub). Pre-Requisite: Permission of the Instructor is Required for enrollment. Students must contact Sarah Wright to obtain a permission number. Enrollment Max. 1; Credit: 5. Prior to the first day, the student should contact Gail McFarland, Duke Urogynecology, 5324 McFarland Drive, Suite 310, Duke Medicine Patterson Place, Durham, NC 27707; Phone: (contact listed in DukeHub). Students will be provided with orientation information and connected with the supervising resident physician prior to first day of the rotation. Faculty: Alison Weidner, MD/MMCi; Cindy Amundsen, MD; Matthew Barber, MD/MHS; Amie Kawasaki, MD; Cassandra Kisby MD; J. Eric Jelovsek, MD/MMEd/MSDS; Nazema Siddiqui, MD/MHSc; Anthony Visco, MD; and urogynecology fellows.
Skills
- clinicalSchool of Medicine clinical course
- public speakingAI review: "review and present a specific clinical problem"
AI-resilient: 3 of 5
- Yes: Physical, lab or field work · "sub-internship"
- Yes: Live work with people · "outpatient"
- No: Judgment someone is accountable for
- Yes: A craft you practice with your hands or body · "surgery"
- 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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