Erik Koffijberg
Associate Professor

PO Box 217
7500 AE Enschede

Telephone: (053) 489 5384
Fax: (053) 489 2159


Erik Koffijberg studied Technical Computer Science at the Delft University of Technology, specializing in knowledge based systems and artificial intelligence. He graduated in 2000, and worked as software engineer/architect until 2004, focusing on actuarial components in life insurance administration systems. In 2004 he started as junior researcher at the Health Technology Assessment (HTA) department of the Julius Center - UMC Utrecht. He obtained his PhD from Utrecht University in 2008 with a thesis on new decision analytical models for management of intracranial aneurysms. Subsequently he worked as assistant professor at the HTA department, and the Methods research group, of the Julius Center until 2015. He worked on applied HTA projects, such as cost-effectiveness and budget impact analyses, as well as methodological research within the field of HTA, such as value of information methods. Erik particularly focuses on the impact evaluation, of diagnostic and prognostic tests, imaging tests, genetic tests, biomarkers and clinical prediction rules. He obtained a prestigious personal grant (VENI) from the Netherlands Organization for Scientific Research (NWO) for his project titled “Integrating novel health economic methods and clinical prediction research”.

In 2014 he was interim head of the HTA department of the Julius Center – UMC Utrecht.

In February 2015 he joined HTSR as associate professor in health economics.


The main interest of Erik Koffijberg is the application of mathematical modeling and simulation methods to support medical decision making and health economics. He has applied these methods in many medical fields such as: cardiology, neurology, radiology, COPD, gastrointestinal diseases, and deep venous thrombosis. The methodological expertise of Erik mainly relates to

  • Evaluation and development of methods for (early) assessment of new medical tests
  • Development of methods for optimizing diagnostic strategies, in particular, the timing, frequency, order and combination of tests, cut-off values etc., for personalized diagnostics
  • Evaluation and development of methods for research prioritization

He is currently involved in projects on optimal monitoring strategies for patients with Type 2 diabetes, on identification and impact assessment of novel female-specific risk prediction strategies, on optimal screening strategies for individuals with one or more affected relatives with subarachnoid haemorrhage, on methods development for health economic evaluation of new clinical prediction models, on methods development for tailored application of new tests in subgroups of individuals, and on methods for extending the value of information framework.