COMMFAM 433C
Community Health
Anh Nhat Tran
Description from DukeHub
This elective introduces students to the concepts and practice of community-engaged population health improvement, with the aim of improving knowledge and skills to design, implement and/evaluation these types of initiatives. Community-engaged population-based health care is becoming increasingly important in addressing the health needs of the United States. This elective will help students understand how Duke Health serves communities through collaborative, innovative, interdisciplinary clinical services, educational programs, advocacy initiatives and applied research. By allowing students to participate in actual community/population health improvement initiatives that address diverse social drivers or health, role modeling and experiential learning are used to supplement and apply what is learned in the required text-based materials of the course. Because the specific course activities depend upon the student's particular interests and the community health initiatives ongoing at the time of the elective, each student's course activities and health improvement project will be individually designed. Participation in this course requires instructor permission. Students must contact Dr. Anh Tran, Program Director, at least six weeks prior to the start of the course via email at (contact listed in DukeHub). At that time, Dr. Tran and the student, along with community programming faculty and staff, will plan the specific activities that will be undertaken by that student, and establish the requirements for the student's successful completion of the course. For more specific information about the course, students may contact Adriana Green, Training Coordinator in the Division of Community Health, at (contact listed in DukeHub). Details on course meeting location, days and time will be communicated prior to the first day of class. Credit: 4; Enrollment max: 2. Anh Tran, PhD, MPH
Skills
AI-resilient: 2 of 5
- Yes: Physical, lab or field work · clinical rotation
- Yes: Live work with people · "community-engaged"
- 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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