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Radboud Institute for Health Sciences

Ideally, every procedure in clinical practice and public health should take place based on proof, instead of intuition or ‘experience’. The Radboud Institute for Health Sciences (RIHS) aims to improve clinical practice and public health by:

  1. Providing evidence about the efficacy and efficiency of exist- ing as well as new tests, treatments and policies
  2. Training young researchers in the methodology to obtain such evidence
  3. Developing new methodology for more optimal research in this field.

The probabilistic research at the RIHS typically deals with groups of people, both real people as well as simulated people in model situations. The groups of people are patients (in clinical situations) or part of the general population. Through these groups of people, evidence is obtained about the relation between a determinant and an outcome.

In science, there is a clear link between probabilistic and mech- anistic research. After all, mechanistic knowledge should always be supported by probabilistic data before policy can be made. Research can be based on theories or principles, policies should not. On the other hand, probabilistic research should ideally be based on mechanistic knowledge and frequently yields new leads for further mechanistic research. At the Radboudumc, both research domains are connected in by focusing joint disease-oriented research themes.

The Radboudumc aims to have a significant impact on healthcare. In line with this mission, the RIHS tries to bridge the gap between science and society, by, for example, involvement in the develop- ment and evaluation of guidelines and protocols. Societal impact is at the core of its ambition.

Mentors available within the RIHS:
Wietske Kievit (Department for Health Evidence)


Esther Tanck (Orthopaedic Research Lab)


Femmie de Vegt (Department for Health Evidence)


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