SMDM Virtual Course: Discrete Event Simulation in R to support healthcare decision making

Registration fee (Members): 280 USD
Registration fee (non-Members): 425 USD

About this course
This course covers all basic choices and methods required for developing and analyzing discrete event simulations (DES): The practical steps involved in modeling, different types of evidence that can be used, alternative approaches for handling competing events, and how to reflect different types of patient variation.
A single case study will be used in all exercises, extending a simple DES into a comprehensive model, including probabilistic analysis. R will be used and ready-to-use scripts will be provided. Exercise answers will be provided and participants will leave with a running DES model.

February 23 - February 23, 2023


Learning Objectives:
• Understand the design choices necessary for developing DES.
• Correctly utilize different types of evidence to populate DES.
• Distinguish between alternative approaches for implementing competing events in DES.
• Distinguish between different types of uncertainty in DES.
• Develop and run a basic DES in R using the simmer package.



Erik Koffijberg
PhD @University of Twente, The Netherlands

Erik Koffijberg has an MSc in Technical Computer Science and a PhD in Decision-Analytic Modelling. He is full professor HTA of Digital Health Innovations and chair of the section Health Technology & Services Research at the University of Twente. Erik has >18 years of experience in (early) HTA applied to evaluate new diagnostic tests, imaging techniques, prediction models, AI, and devices. His research focuses on flexible modeling paradigms to estimate the long-term impact of (preventive) innovations. He is member of the scientific advisory board of the National Healthcare Institute (ZIN).


Koen Degeling
PhD @Lumen Value & Access – a Healthcare Consultancy Group company, New York, NY, United States

Koen is Scientific Director and Economic Modeling & Innovation Lead at Lumen Value & Access, and Honorary Fellow at The University of Melbourne in Australia. He has a Bachelor's and Master's Degree in Industrial Engineering and Management, specializing in Health Care Technology and Management, and a PhD in Advanced Health Economic Modeling, from the University of Twente in the Netherlands. He has experience in the design, conduct, and appraisal of health economic and health services studies, and actively shares his knowledge with the global HEOR community through publications and workshops.


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