ESP70
Fundamentals of Medical Decision Making
This course will provide an introduction to health care decision making. Given uncertainty, trade-offs and values, how should patients, policymakers and clinicians decide among diagnostic and therapeutic choices to make optimal decisions? Medical interventions may have benefits but also adverse effects, e.g., undesirable complications or false or inconclusive results.
Clinical and health policy decisions necessitate weighing benefits and harms and trading off competing objectives (life expectancy, quality of life, costs). We will discuss a proactive approach involving decision analysis to integrate evidence and values for optimal and efficient care choices in the face of uncertainty.
Course content includes interpretation of clinical data and test results, testing and treatment thresholds, estimating prognosis, decision tree construction (e.g., Markov models and Monte Carlo simulations), life expectancy, quality of life assessment, cost-effectiveness analysis, health technology assessment, diagnostic reasoning, and shared decision making.
Teaching methods: Interactive lectures, breakout group discussions and exercises.
Objectives
After this course, you are able to:
Apply a systematic rational approach to decision making in health care
Experience patient-centered clinical decisions based on evidence and preferences
Recognize the role of uncertainty in testing and treatment decisions
Assess, value and weigh benefits and harms in medical decision making
Describe how to consider economic costs in health care policy decisions
Participant profile
Those in clinical care, health research, quality improvement, technology assessment, academia, health industry, or government who have interest in learning how to improve the process by which medical decisions are made in clinical practice for individuals and in health policy for populations, including clinical researchers, clinical epidemiologists, decision scientists, public health or public policy researchers or administrators, and those in health technology assessment or value-based healthcare.
Assessment
AttendanceCourse highlights
Course code ESP70
EC points 0.7
Date 09/08/2026 - 13/08/2026
Course days Monday to Friday (5 afternoons)
Course time 13:00 - 16:00
Faculty Ankur Pandya
Course fee €
Location Erasmus MC, Rotterdam NL
Level Introductory
Prerequisites
None
-
Disciplines
- Clinical Research
- Clinical Epidemiology
- Biostatistics
- Epidemiology
- Genetic Epidemiology
- Health Economics
- Medical Psychology
- Methodology
Materials
Digitally, download instructions will be sent before the start of the course, by e-mail.
Recommended book: Hunink MGM, Weinstein MC, Wittenberg E, Drummond MF, Pliskin JS, Wong JB, Glasziou PP. Decision making in health and medicine. Integrating evidence and values. 2d Ed. Cambridge: Cambridge University Press; 2014. ISBN-10: 1107690471 ISBN-13: 978-1107690479 ASIN: B00N4PLW5A.
Bring your own device!
A calculator or laptop with spreadsheet software will be helpful for some of the in class and optional exercises.
Tools Laptop required, Calculator recommended