Resumen
H2020 project as Linked Third Party to Hospital La Fe (2 claves específicas: Juan Miguel GarcíaGónez y Vicente Tráver)
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 cocreation
(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).
