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CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health.

Kyriazis, D., Autexier, S., Brondino, I., Boniface, M., Donat, L., Engen, V., Fernandez, R., Jimenez-Peris, R., Jordan, B., Jurak, G., Kiourtis, A., Kosmidis, T., Lustrek, M., Maglogiannis, I., Mantas, J., Martinez, A., Mavrogiorgou, A., Menychtas, A., Montandon, L., Nechifor, C-S., Nifakos, S., Papageorgiou, A., Patino-Martinez, M., Perez, M., Plagianakos, V., Stanimirovic, D., Starcand, G., Tomson, T., Torelli, F., Traver-Salcedo, V., Vassilacopoulos, G. and Wajid, U., 2017. CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health. In: International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2017), 7-9 July 2017, Athens, Greece, 19 - 23.

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Abstract

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. The proposed approach also 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. Cross-domain co-creation of policies is feasible through a rich toolkit, being provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, and for the compilation of predictions.

Item Type:Conference or Workshop Item (Paper)
ISSN:0926-9630
Uncontrolled Keywords:big data; disease prevention; health analytics; health promotion; public health policy making; electronic health records; health policy; holistic health; humans; policy making; risk assessment; telemedicine
Group:Faculty of Science & Technology
ID Code:33671
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Mar 2020 15:11
Last Modified:09 Mar 2020 15:11

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