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.

Participants
Achmea
Leader
ErasmusMC
TNO

Publications

Privacy-preserving dataset combination and Lasso regression for healthcare predictions

16/09/2021

van Egmond, M.B., Spini, G., van der Galien, O. et al. Privacy-preserving dataset combination and Lasso regression for healthcare predictions. BMC Med Inform Decis Mak 21, 266 (2021). https://doi.org/10.1186/s12911-021-01582-y

Coping with the general data protection regulation; anonymization through multi-party computation technology

02/09/2021

van Haaften, W., Sangers, A., Engers, T., Djafari, s. (29 February 2020). Coping with the general data protection regulation; anonymization through multi-party computation technology. 23rd International Legal Informatics Symposium, Salzburg, Austria.

Heart failure and promotion of physical activity before and after cardiac rehabilitation (HF-aPProACH): a study protocol

16/07/2021

Limpens, M. A. M.Gürgöze, M. T.Lenzen, M. J.Roest, S.Voortman, T.Kavousi, M.ter Hoeve, N.Sunamura, M.den Uijl, I.van der Spek, P. J.Brugts, J. J.Manintveld, O. C.IJpma, A. S., and Boersma, E. (2021Heart failure and promotion of physical activity before and after cardiac rehabilitation (HF-aPProACH): a study protocolESC Heart Failurehttps://doi.org/10.1002/ehf2.13505.

Trajectories of physical activity and sedentary behaviour during and after cardiac rehabilitation in patients with acute coronary syndrome

11/05/2021

M Limpens, HJG Van Den Berg – Emons, I Den Uijl, M Sunamura, T Voortman, E Boersma, N Ter Hoeve, Trajectories of physical activity and sedentary behaviour during and after cardiac rehabilitation in patients with acute coronary syndrome, European Journal of Preventive Cardiology, Volume 28, Issue Supplement_1, May 2021, zwab061.099, https://doi.org/10.1093/eurjpc/zwab061.099

Impact of sex differences in co-morbidities and medication adherence on outcome in 25,776 heart failure patients

09/12/2020

Gürgöze, M. T.van der Galiën, O. P.Limpens, M. A. M.Roest, S.Hoekstra, R. C.IJpma, A. S.Brugts, J. J.Manintveld, O. C., and Boersma, E. (2020Impact of sex differences in co‐morbidities and medication adherence on outcome in 25 776 heart failure patientsESC Heart Failurehttps://doi.org/10.1002/ehf2.13113.

Pilot 5: Heart failure MPC

04/10/2019

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

Pilot 5: Heart failure

04/10/2019

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

21/10/2018

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