Myriam Hunink

Professor of Clinical Epidemiology and Professor of Radiology
Erasmus University Medical Center, Rotterdam
PubMed Publications


Myriam Hunink completed a BSc in applied mathematics, an MD degree, and a PhD in health decision sciences. She trained as a radiologist in Amsterdam (VUMC), did subspecialty training in interventional and cardiovascular radiology in Boston (BWH/Harvard), and did a research fellowship at Harvard (HSPH/BWH/HMS). She currently directs the Assessment of Radiological Technology (ART) program and the division of Clinical Epidemiology at the Erasmus MC. She is Professor of Clinical Epidemiology and Radiology at the Erasmus University Medical Center, Rotterdam, the Netherlands and Adjunct Professor of Health Decision Sciences at Harvard School of Public Health, Harvard University, Boston. Her vision is to optimize medical decisions by combining the best-available quantitative evidence on risks and benefits from diverse sources and integrating patient values, preferences, quality of life, and costs. Prof. Hunink’s main research interests are comparative effectiveness research and health technology assessment studies of diagnostic and prognostic imaging tests (biomarkers) and image-guided therapies, in particular for cardiovascular disease. Other research interests include integrated diagnostics, computerized decision support for evidence-based use of imaging tests, and (imaging to measure) the effectiveness of lifestyle interventions. She is internationally known for her comparative (cost-) effectiveness studies of imaging for cardiovascular disease and is lead author on a textbook on decision modeling (Hunink & Glasziou: Decision making in health and medicine. Integrating evidence and values. Cambridge University Press). Furthermore, she is a past president of the Society for Medical Decision Making, a multidisciplinary international society (www.smdm.org).

Instructor:
Myriam Hunink
Term:
Summer
An intermediate-level medical decision making course covering topics such as modeling methods, diagnostic test evaluation, utility assessment and multi-attribute utility theory, value of information analysis, and behavioral decision making.