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Collective wisdom driving public health policies

Collective wisdom driving public health policies

Objective

Today’s rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. CrowdHEALTH will introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs will be transformed into Social HHRs communities capturing the clinical, social and human context of the population segmentation and as a result the collective knowledge for different factors depending on the communities formulation criteria (e.g. demographics, diseases, lifestyle choices, nutrition, etc). CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders. CrowdHEALTH will develop policy modeling techniques to facilitate the inclusion of Key Performance Indicators (KPIs) in policies and the correlation of these KPIs both with all health determinants captured in HHRs and with information from other domains towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies will be feasible through a rich toolkit, which will be provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, as well as for compilation of predictions. Through the toolkit, multi-modal targeted policies addressing various time scales (long- / short- term), locations (area, regional, national, international), populations, and evolving risks will be realized. CrowdHEALTH will facilitate policies evaluation (on complete policy and per-KPI levels) and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies. CrowdHEALTH will collect data and will be validated through 5 pilots addressing different environments (care centers, social networks, public environments, living labs, diseases monitoring).
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Coordinator

ATOS SPAIN SA

Address

Calle De Albarracin 25
28037 Madrid

Spain

Activity type

Other

EU Contribution

€ 403 750

Participants (19)

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ENGINEERING - INGEGNERIA INFORMATICA SPA

Italy

EU Contribution

€ 306 250

SIEMENS SRL

Romania

EU Contribution

€ 278 750

SINGULARLOGIC CYPRUS LTD

Cyprus

EU Contribution

€ 273 750

ETHNIKOS ORGANISMOS PAROCHIS YPIRESION YGIAS

Greece

EU Contribution

€ 145 312,50

NACIONALNI INSTITUT ZA JAVNO ZDRAVJE

Slovenia

EU Contribution

€ 102 750

FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA

Spain

EU Contribution

€ 388 925

KAROLINSKA INSTITUTET

Sweden

EU Contribution

€ 324 562,50

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 352 500

BIOASSIST SA

Greece

EU Contribution

€ 225 000

INFORMATION CATALYST FOR ENTERPRISE LTD

United Kingdom

EU Contribution

€ 248 750

CARE ACROSS LTD

United Kingdom

EU Contribution

€ 218 125

LEANXCALE SL

Spain

EU Contribution

€ 281 250

UNIVERSITY OF PIRAEUS RESEARCH CENTER

Greece

EU Contribution

€ 393 125

UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 271 875

UNIVERSITY OF SOUTHAMPTON

United Kingdom

EU Contribution

€ 348 812,50

INSTITUT JOZEF STEFAN

Slovenia

EU Contribution

€ 231 687,50

UNIVERZA V LJUBLJANI

Slovenia

EU Contribution

€ 204 375

ASSOCIATION EUROPEAN FEDERATION FORMEDICAL INFORMATICS

Switzerland

TAIPEI MEDICAL UNIVERSITY FOUNDATION*TMU

Taiwan

Project information

Grant agreement ID: 727560

Status

Ongoing project

  • Start date

    1 March 2017

  • End date

    29 February 2020

Funded under:

H2020-EU.3.1.5.

  • Overall budget:

    € 5 333 300

  • EU contribution

    € 4 999 550

Coordinated by:

ATOS SPAIN SA

Spain