Home   >   Projects   >   BIGMEDILYTICS

BIGMEDILYTICS

Big Data for Medical Analytics

Field
European
Date
01/03/2018 - 01/03/2021
Industry
  • Salud
Budget
Total project budget: 14,997,306 €ITI budget in the project: 483,088 €.
Funded by

European Commission - H2020

PROJECT INFORMATION

DESCRIPTION

The BigMedilytics project aims to transform the European healthcare sector through the application of Big Data technologies that significantly increase its productivity. To achieve this productivity, the project will apply Machine Learning and Big Data processing techniques for the integration and analysis of large sets of health data.
This general approach will be materialized through 12 pilots in 8 countries that will replicate the best practices and technologies established as the most appropriate by the consortium. Adding up all the information from the pilots, information on more than 11 million patients will be available and will be integrated with public information.

The BigMedilytics project aims to transform the European healthcare sector through the application of Big Data technologies that significantly increase its productivity. To achieve this productivity, the project will apply Machine Learning and Big Data processing techniques for the integration and analysis of large sets of health data.
This general approach will be materialized through 12 pilots in 8 countries that will replicate the best practices and technologies established as the most appropriate by the consortium. Adding up all the information from the pilots, information on more than 11 million patients will be available and will be integrated with public information.

Impact

Improve the diagnosis of chronic and cancerous diseases thanks to Big Data, consequently reducing the cost of treatment and increasing efficiency by 20%.
Optimize the workflows of industrialized health services, through information captured in real time from various sources.
Apply various technologies and best practices in the field of Big Data in different use cases and scenarios, thus ensuring their replicability.
To propose new business models based on the integration of health data from different organizations.
Create a catalogue of the best practices in the Big Data framework both at a technological level and in terms of business models or regulatory policies.

Success stories

ITI participates in the BigMedilytics project as a technology partner, and will provide its expertise in Big Data Analytics for the development of the two pilots coordinated by INCLIVA (Institute of Health Research, Valencia).
The first pilot aims to analyze the medical records of 5 million patients in the Valencian Community in the context of comorbidities, in order to establish risk groups that are more effective when deciding the necessary assistance.
The second pilot aims to improve the workflow in the treatment and diagnosis of Sepsis, in which the first hours are critical to reduce the risk of death.

Entities

Consorcio formado por 35 entidades de 12 países diferentes (8 Holanda, 8 Alemania, 5 España, 3 UK, 2 Francia, 2 Austria, 2 Grecia, Finlandia, Irlanda, Israel, Serbia y Suecia),
junto con 69 organizaciones externas que participarán en los pilotos demostradores. Participan 2 enidades de la Comunidad Valenciana: ITI (miembro TECH4CV) y INCLIVA.

Philips Electronics Nederland B.V.
INCLIVA Fundación para la Investigación del Hospital Clínico Comunidad Valenciana
INSTITUTO TECNOLOGICO DE INFORMATICA
Erasmus Universitair Medisch Centrum Rotterdam
Achmea BV
GIE AXA
Optimedis AG
Atos Spain S.A.
TNO
Technische Universiteit Eindhoven
ContextFlow GmbH
HUAWEI Technologies Düsseldorf GmbH
Royal College of Surgeons in Ireland//Rotunda Hospital
Stockholms läns landstings
Hassno-Plattner-Institut für Softwaresystemtechnik GmbH
National Centre of Scientific Research "Demokritos"
Athens Technology Center SA
Rheinische Friedrich-Wilhelms-Universität Bonn
Universidad Politécnica De Madrid
Servicio Madrileño de Salud
Medische Universität Wien
IBM Israel - Science and Technology LTD
Institut Curie
Teknologian tutkimuskeskus VTT Oy
Deutsches Forschungszentrum fur Kunstliche Intelligenz GmbH
Charité - Universitätsmedizin Berlin
AOK Nordost - die Gesundheitskasse
Universitätsklinikum Essen
University of Southampton
My mHealth Limited
AstraZeneca UK Limited
Onze Lieve Vrouwe Gasthuis
Stichting Elisabeth-TweeSteden Ziekenhuis
Erasmus Universiteit Rotterdam
Nissatech Innovation Centre DOO

Contact information

Daniel Sáez Domingo
Director of the Technology Transfer Unit

ITI – Instituto Tecnológico de Informática

Technological capabilities

Big Data
Data analysis and exploitation