beHEALTHIER aims at the development of innovative mechanisms and services of Integrated Health Data Management in order to use them effectively for the formulation of health policies. The methodology that will be followed in the project will improve the possibilities of utilizing health data through the integration of technologies that will allow their holistic analysis, based on knowledge and experience from similar databases, but also their continuous evolution through integration of new data. This approach can add value to health policy-making by shaping populations with similar characteristics.
beHEALTHIER proposes a process of data collection and management that directly or indirectly relates to the health of the citizen-patient in two (2) stages:
(i) Development of eXtended Health Records (XHRs), which include all health determinants, in order to form a complete picture of the individual. XHRs will include data related to the health of patient-citizens, incorporating not only prevention (eg vaccinations, diet and lifestyle) and care data (primary and secondary) but also additional data identified as determinants of health , such as social security data, environmental data or data from social networks. Thus, an XHR can contain four (4) categories of data: a) subjective health and social data recorded by the patient-citizen and her environment, b) social care data collected by social actors, c) objective data including clinical signs recorded and transmitted in the form of biomarkers by medical devices connected to the individual and / or patient (such as activity trackers, smartwatches, wearables, etc.), and d) health and care data (primary and secondary) including data stored by healthcare professionals.
(ii) Extraction of knowledge from Networks of XHRs (nXHRs). The project will create interconnected XHRs, which will be created based on stored XHRs in cloud computing infrastructure and will function as living entities, enabling automated and continuous exchange of information and knowledge. XHRs will include features such as identifying and disseminating events that affect the citizen-patient, disseminating knowledge and experience, and establishing relationships through interaction and interoperability with other XHRs. This means that XHRs could create fully interoperable ecosystems in an automated way based on various criteria related to lifestyle and potential symptomatology and exchange data and experiences.
All of these will form the basis for the development of Health Policies that will be addressed to organizations and schedules, at the national level, thus highlighting potential risks/ diseases.

Project and Technical Coordination of the project.

WP1: Requirements Analysis, Architecture Design and Methodology, Requirements Analysis and System Specification, System Architecture Implementation Methodology
WP2: Holistic Health Data Management, Portals of XHR Data Exchange, Data Reliability
WP3: Analysis of Health Data & Mining Large Data Management Technical Interoperability User Interface
WP4: Utilization of Health Data : Health Policies, Disease Prevention, Improving Quality of Life & Personalized Care
WP5: Risk and Prediction Analysis: Experimental Operation and Evaluation Definition & Case Design