EDPs in Rwanda

In Rwanda, we provide support to the Ministry of Health to revise the community-based health insurance (CBHI) benefit package. The project is implemented by iDSI in close collaboration with the School of Public Health of the University of Rwanda, the Rwanda Social Security Board, the World Health Organization, and Radboudumc. The project started in 2021 and evaluates cancer control strategies as a first cluster of conditions, with the aim to provide recommendations to the MoH on inclusion of cancer services in the CBHI cancer package. The evaluation of other clusters is planned afterwards. 

The role of Radboudumc is to develop the decision-making process for benefit package design following the principles of EDPs. This involves leading on and contributing, through a series of online and onsite training activities, to the development of an appropriate governance structure, the establishment of an advisory committee, the selection of decision criteria and the organisation of appraisal meetings.

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Research Research groups

Where experience meets talent

By working in groups, we accelerate the development of knowledge and its implementation. Each group is led by an experienced group leader, who ensures the direction, focus and sustainable development of the group and the well-being and professional development of its members. The specialized knowledge is applied in one or more research programs.

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Our research groups

Addiction psychiatry

Arnt Schellekens's research group aims to reduce the tremendous burden of addictive disorders through translational research, linking basic science with clinical practice. The group focuses on disentangling clinical heterogeneity, in order to develop personalized addiction treatment strategies.

Advanced x-ray imaging methods

Ioannis Sechopoulos's research group specializes in research on novel image acquisition, processing and analysis in diagnostic x-ray based imaging, particularly for breast and body computed tomography.

Affordability and accessibility of care

Bram Wouterse's research group investigates how to make health care systems sustainable, from a financial, work force, societal, and environmental perspective. We do so in collaboration with policymakers and by combining evidence at the individual and local level.

AI for precision medicine

Francesco Ciompi's research group focuses on precision medicine, investigating and developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and select the right treatments to help patients.

AI in thoracic oncology

Colin Jacobs's research group investigates how to develop robust and trustworthy artificial intelligence algorithms for medical imaging in the field of lung cancer, how to validate these algorithms in clinical practice, and how we can have the most impact with AI in healthcare.

Pages in development

We are in the process of creating a web page for each research group. Over the next few months, this overview will be completed.

Pages in development