Population Health and Chronic Disease Management

Heart failure

Heart failure

There are currently 15 million patients living with Heart Failure (HF) in Europe. Annual mortal risk for these patients is between 10% to 20%, higher than various cancers. HF patients, in particular those with (multiple) comorbidities, currently do not receive optimal medical therapy, leading to potentially avoidable specialist-visits and frequent hospitalizations, impaired quality of life or even life-threatening complications. All this results in high costs for society.

15 million

people affected

Mortal risk

up to 20 %

Not optimal

medical therapy

Led by Erasmus Universitair Medisch Centrum Rotterdam, this pilot is focused on introducing personal healthcare concepts to the benefits of patients with HF. It will underline the impact of appropriated infrastructure to deploy eHealth applications for value-based healthcare. The goal is to reach optimal medical therapy in 100% of subjects.

Why a big data approach is needed

In many hospitals treatment is organized per discipline, and the exchange of health data between disciplines is severely limited. This practical is not optimal in case of comorbidities, since a medical practitioner doesn’t have access to the full medical history of a given patient. Through the combination of datasets from multiple stakeholders, existing HF models/interventions will be improved enabling optimal medical therapy.


Pilot 5: Heart failure


Poster at BigMedilytics event: “Big Data: Fueling the transformation of Europe’s Healthcare Sector”. September 4-5, 2019, Valencia, Spain

Enabling analytics on sensitive medical data with secure multi-party computation


Veeningen M, Chatterjea S, Horváth AZ, Spindler G, Boersma E, van der Spek P, van der Galiën O, Gutteling J, Kraaij W, Veugen T. Enabling analytics on sensitive medical data with secure multi-party computation. Stud Health Technol Inform. 2018;247:76-80. doi:10.3233/978-1-61499-852-5-76