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).
Field of science
- /natural sciences/computer and information sciences/computer security/data protection
- /medical and health sciences/health sciences/public and environmental health
- /natural sciences/computer and information sciences/data science/big data
- /natural sciences/computer and information sciences/computer security/access control
- /medical and health sciences/health sciences/nutrition
Programme(s)
Call for proposal
H2020-SC1-2016-CNECT
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
28037 Madrid
Spain
Participants (19)
00144 Roma
062204 Bucuresti
4156 Kato Polemidia Limassol
15123 Athens
1000 Ljubljana
46026 Valencia
17177 Stockholm
67663 Kaiserslautern
265 04 Rio
CW8 4EE Northwich Cheshire
N21 3NA London
28690 Brunete Madrid
185 32 Piraeus
28040 Madrid
SO17 1BJ Southampton
1000 Ljubljana
1000 Ljubljana
1052 Le Mont-sur-lausanne
11031 Taipei