Jolien holds both a Bachelor and Master's Degree in Applied Mathematics from Delft University of Technology. During her time in Delft, she specialized in statistics and got involved in the healthcare sector in the early stages of her college years. She graduated in 2016 on "Finding the best moment to treat: the marginal structural model applied to kidney patients treated with Erythropoiesis-stimulating Agents", analyzing a statistical model applied to kidney dialysis patients at the Leiden University Medical Center.
During her Masters degree, she found the combination of quantitative analysis and practical problem solving particularly enjoyable. By combining these, she started her career at SiRM as a consultant. Her field of expertise focuses on analyzing statistics and conducting quantitative research on various subjects, mostly within the healthcare sector.
Examples of project experience
- Optimal concentration of IAT care in the Netherlands. Commissioned by the Netherlands Federation of University Medical Centres (NFU) board, a NFU working group has provided insight into the implications regarding changing the number of IAT centers and their distribution across the Netherlands. The working group was supported by SiRM. SiRM has made a simulation model based on the information provided in the working group in which a number of scenarios with different concentrations of IAT care in the Netherlands have been calculated.
- Elsevier - quality indicators hospital care. Since 2010, SiRM has been carrying out analyzes for Elsevier to organize, select and process all publicly available quality indicators about hospitals. With this Elsevier has successfully renewed its annual research into the performance of hospitals.
- Development of mental health indicators. As a follow-up to an earlier project in which SiRM has compiled 9 quality indicators for mental health care, a number of these indicators are now being further developed under the guidance of SiRM. These indicators are substanced in collaboration with field parties.