Short Courses are in-person, in-depth learning opportunities offered in conjunction with the SMDM Annual Meeting. These sessions allow participants to engage deeply with a focused topic in medical decision making through interactive, extended-format instruction. Short courses require a registration fee.
New in 2027: The SMDM 49th Annual Meeting in Toronto will include one Short Course registration for all student/trainee/LMIC attendees at no extra cost. Plan to join us in Toronto for a short course on Sunday, 6 June, 2027.
Annual Meeting short courses will be announced around February, 2027.
The SMDM Education Committee has made available the following Short Courses from past meetings that we hope will aid you in your career pursuits.
Short Courses from the 42nd Annual North American Meeting
Virtual Meeting – October 2020
View the short courses listed below.
- Methods for Measuring Patient Preferences Information
- Innovative Approaches for Engaging Patients and Improving Decision Making in the Era of Precision Medicine and COVID19
- Quantifying and Valuing Health Inequality Impacts in Economic Evaluation
- Modeling Approaches for Analyzing Health Care Problems – an Introductory Overview and Comparison
Short Courses from the 41st Annual North American Meeting
Portland, OR – October 19 -23, 2019
View the short courses listed below.
- SMDM Core Short Course: Introduction to Medical Decision Analysis (Decision-Analytic Modeling)
- Values Clarification Methods to Support Preference Sensitive Decisions: An Overview
- Developing Innovative Approaches for Engaging Patients and Improving Decision Making in the Era of Precision Medicine
Short Courses from the 40th Annual North American Meeting
Short Courses from the 39th Annual North American Meeting
Pittsburgh, PA – October 22 – 25, 2017
The following short courses can be accessed at the individual links below.
Stated-Preferences Methods: Design, Analysis, and Interpretation – View Recordings (Part 1, Part 2, Part 3, Part 4)
Introduction to Shared Decision Making and Patient Decision Aids