Dimosthenis Kyriazis is an Assistant Professor at University of Piraeus (Department of Digital Systems). He received his diploma from the school of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) in 2001 and his MSc degree in “Techno-economics” in 2004. Since 2007, he holds a PhD in the area of Service Oriented Architectures with a focus on quality aspects and workflow management. His expertise lies with service-based, distributed and heterogeneous systems, software and service engineering. Before joining University of Piraeus, he was a Senior Research Engineer at the Institute of Communication and Computer Systems (ICCS) of NTUA, having participated and coordinated several EU and National funded projects (e.g. 5GTANGO, MATILDA, CrowdHEALTH, BigDataStack, ATMOSPHERE, ORBIT, LeanBigData, CoherentPaaS, COSMOS, VISION Cloud, etc.) focusing his research on issues related to service management, quality of service provisioning, fault tolerance, data analytics and data management, performance modelling, deployment, orchestration and management of virtualized infrastructures and platforms.
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. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transformed into HHRs clusters capturing the clinical, social and human context of population segments and as a result collective knowledge for different factors. CrowdHEALTH is 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, as well as to policy makers towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies are feasible through a rich toolkit, the Policy Development Toolkit (PDT), which is provided on top of the DaaS, enabling health policy creation and evaluation by not only addressing the management of patients and population health records, but also by providing advanced decision support, risk assessment and situational awareness towards health policy making.