INTERDIS 310C
Quantitative Medicine and Decision Making - Evidence Based Medicine YR3
Megan A. Von Isenburg
Description from DukeHub
The Quantitative Medicine and Decision Making - Evidence Based Medicine course is a required component of the two-part Quantitative Medicine and Decision Making course. EBM is an essential clinical tool and is intended as a method or process for healthcare providers to identify clinical questions and then find, critically appraise, and apply the best available evidence to the care of individual patients. Students will develop clinical questions, explore articles of therapy, diagnosis, harm, prognosis, and synthesis. Students will interpret results of articles, including relative and absolute risk reduction, numbers needed to treat/harm, risk ratios and odds ratios, likelihood ratios, and forest plots. Students will practice applying the results back to patient cases. QMDM EBM takes place over 8 sessions in the Spring semester of MS3. Enrollment Max: 130; Credit: 1. For more information please contact Megan Von Isenburg. Jane Gagliardi, MD, MHS, FACP, FAPA and Megan Von Isenburg
Skills
- data and statisticstitle: "quantitative"
- clinicalSchool of Medicine clinical course
AI-resilient: 3 of 5
- Yes: Physical, lab or field work · clinical rotation
- Yes: Live work with people · "clinical"
- Yes: Judgment someone is accountable for · "decision"
- 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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