Big Data for Medical Analytics

The BigMedilytics project is one of the largest EU-funded initiatives to transform the region’s healthcare sector by using state-of-the-art big data technologies to achieve breakthrough productivity in the sector by reducing cost, improving patient outcomes, and delivering better access to healthcare facilities simultaneously.

The project executes 12 pilots distributed over three themes with the greatest impact on the sector: Populations Health (Comorbidities, Kidney disease, Diabetes, COPD/Asthma, and Heart Failure), Oncology (Prostate, Breast and Lung cancers) and Industrialization of Healthcare, which refers to the optimization of workflows within hospitals (Stroke workflows, Sepsis workflows, Asset management, and Radiology workflows). The pilots cover the entire healthcare continuum from prevention to diagnosis, treatment, and home care.

The learnings captured from the pilots are used to define a Big Data Healthcare Analytics Blueprint which describes the best practices that need to be followed from both a technology and healthcare perspective when rolling out big data solutions for the healthcare sector. The Blueprint will ensure that concepts from the pilots will be successfully scaled up across Europe.


BigMedilytics is a consortium of 35 entities in which healthcare providers, technology companies, pharma, research institutes and universities from 12 different countries participate (The Netherlands, Germany, Spain, United Kingdom, France, Austria, Greece, Finland, Ireland, Israel, Serbia and Sweden).

INCLIVA’s role

INCLIVA plays an essential role in the project, given that, in addition to scientific participation, it is responsible for social communication and for establishing the rules that regulate data protection and privacy of information in collaboration with the Universitat de València


BigMedilytics has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 780495.


H2020 ICT


Prof. Dr. Josep Redón




1.062.136,25 €