Population Health and Chronic Disease Management



Chronic Diseases and Conditions (CDCs) are the major cost of morbidity and mortality and lead to 86 % of all deaths. CDCs account for more than 75 % of the healthcare burden in Europe, with a cost for the economy of €700 billion per year. Moreover, the number of CDCs that occur simultaneously in individual patients increase with aging. This is a serious problem if we take into account the rapidly growing aging population.

86 %

of all deaths


Healtcare burden

€700 billion

cost per year


Increase with aging

Led by INCLIVA, this pilot aims to reduce admissions to secondary care by redirecting low risk patients to primary care and high-risk patients to secondary care thus by reducing highly expensive care and hospitalizations. To achieve its objective the pilot will use clustering/stratification and risk prediction algorithms.

Why a big data approach is needed

Big data technologies are the only way to characterise the disease trajectories and care pathways of a large patient population over an extended period of time. The techniques may help unravel new unknown links that might exist between different disease groups.



Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study


Lopez, C.; Holgado, J.L.; Fernandez, A.; Sauri, I.; Uso, R.; Trillo, J.L.; Vela, S.; Bea, C.; Nuñez, J.; Ferrer, A.; Gamez, J.; Ruiz, A.; Redon, J. Impact of Acute Hemoglobin Falls in Heart Failure Patients: A Population Study. J. Clin. Med. 2020, 9, 1869.

Acute kidney injury in heart failure: a population study


Holgado JL, Lopez C, Fernandez A, Sauri I, Uso R, Trillo JL et al. Acute kidney injury in heart failure: a population study. ESC Heart Failure [Internet]. 2020 Feb. Available from:https://onlinelibrary.wiley.com/doi/epdf/10.1002/ehf2.12595 doi: 10.1002/ehf2.12595

Pilot 1: Comorbidities


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