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. To this context, CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing Data as a Service (DaaS) to the health ecosystem stakeholders, as well as to the health policies’ makers, achieving 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, creating multi-modal targeted policies addressing various evolving risks that will be realized from each different population segmentation. Furthermore, CrowdHEALTH will facilitate policies evaluation and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies.
Start date: 01/03/2017
Duration: 36 months
1. Technical Coordination: UPRC provides Technical Coordination for all the research and development activities, through a single logical view of the technical cohesion of the project. UPRC has reviewed and proposed several changes in the overall work of CrowdHEALTH, so that functional requirements are met, while the flow of information between different work packages, as well as the progress and the prompt delivery of technical reports and data that have been identified as deliverable items in the project are continuously monitored. Therefore, as a Technical Coordinator, UPRC has dealt with the definition of the target conceptual model and the overall architecture, including the functionalities of the different components, as well as the descriptions of the CrowdHEALTH offerings and capabilities.
2. Holistic Health Records (HHRs): UPRC has been actively involved in the Holistic Health Records (HHRs) activities, by contributing to the design activities of the HHR Manager and to the definition of the HHR conceptual model, in particular for what concern the analysis of the BIOAssist, TMU and KI conceptual data schemes, and their mapping to HL7/FHIR.
3. Data Interoperability: UPRC has worked in the definition of the Data Converter component, where the UPRC team has designed and implemented a prototype in order to translate raw-data of any format into FHIR format based on the syntactic and semantic similarity that exists between the datasets and the HL7 FHIR Resources.
4. Plug’n’Play: Finally, UPRC has lead the work of the design and the development of the Plug’n’Play component that is responsible for collecting streaming data from different IoT medical devices, whilst also leads the development of the Sources Verifier component that is responsible for identifying the reliability levels of all the pluggable devices.