Dr. I. Maglogiannis Ilias Maglogiannis received a Diploma in Electrical & Computer Engineering and a Ph.D. in Biomedical Engineering and Medical Informatics from the National Technical University of Athens (NTUA). He is now Associate Professor and Director of Computational Biomedicine laboratory in the Dept. of Digital Systems in the University of Piraeus (http://www.ds.unipi.gr/en/iliasmaglo/). He has been principal investigator in many European (i.e. H2020: UNCAP, CRPOWDHEALTH, FP7: e-LICO, INHOME, FP6: UNITE, NOMAD, TELEMED, FP5: MOMEDA, INTRACLINIC) and National Research programs. His scientific interests include Biomedical Informatics, Computer Vision, Multimedia Processing and Pervasive Healthcare Systems. His published scientific work includes five (5) books, 94 journal papers and more than 180 international conference papers, while has received more than 4000 citations on his published work. He is a senior member of the IEEE, ACM, SPIE, president of IFIP Working Group WG12.5 (AI Applications), general secretary of the Hellenic Association of Biomedical Engineering and board member of Hellenic Association of Computer Engineers (HACE).
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.