Big Data Donor Health (BDDH)

The Big Data Donor Health (BDDH) project investigates iron management policies around the world and their impact on donor health, using large scale data routinely collected by blood establishments. Using these data we develop and validate (prediction) models, that help blood establishments shape their donor iron management policies.

We use data from donor databases, which contains a large number of donations from the past decade. As the use of routinely collected data comes with its limitations, in the project we also seek to improve data collection methods at blood establishments to allow better research and improve operational efficiency.

By partnering with international blood establishments inside and outside the EU, we can validate approaches and improve policy outcomes. Moreover, these collaborations allow us to examine the effects of different policies (e.g., iron supplementation and deferral strategies) on donor health and prediction model performance.

Publications can be found here.