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CrowdHEALTH: holistic health records & big data analytics for health policy making and personalized health

CrowdHEALTH: holistic health records & big data analytics for health policy making and personalized health
CrowdHEALTH: holistic health records & big data analytics for health policy making and personalized health
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
238
19-23
IOS Press
Kyriazis, Dimosthenis
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Autexier, Serge
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Brondino, Ivan
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Boniface, Michael
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Donat, Lucas
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Engen, Vegard
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Fernandez, Rafael
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Jimenez-Peris, Ricardo
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Jordan, Blanca
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Jurak, Gregor
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Kiourtis, Athanasios
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Kosmidis, Thanos
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Lustrek, Mitja
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Maglogiannis, Ilias
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Manta, John
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Martinez, Antonio
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Mavrogiorgou, Argyro
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Menychtas, Andreas
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Montandon, Lydia
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Nechifor, Cosmin-Septimin
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Nifakos, Sokratis
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Papageorgiou, Alexandra
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Patino-Martinez, Marta
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Perez, Manuel
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Plagianakos, Vassilis
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Stanimirovic, Dalibor
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Starcand, Gregor
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Tomson, Tanja
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Torelli, Francesco
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Traver-Salcedo, Vicente
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Vassilacopoulos, George
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Wajid, Usman
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Kyriazis, Dimosthenis
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Autexier, Serge
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Brondino, Ivan
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Boniface, Michael
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Donat, Lucas
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Engen, Vegard
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Fernandez, Rafael
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Jimenez-Peris, Ricardo
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Jordan, Blanca
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Jurak, Gregor
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Kiourtis, Athanasios
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Kosmidis, Thanos
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Lustrek, Mitja
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Maglogiannis, Ilias
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Manta, John
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Martinez, Antonio
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Mavrogiorgou, Argyro
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Menychtas, Andreas
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Montandon, Lydia
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Nechifor, Cosmin-Septimin
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Nifakos, Sokratis
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Papageorgiou, Alexandra
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Patino-Martinez, Marta
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Perez, Manuel
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Plagianakos, Vassilis
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Stanimirovic, Dalibor
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Starcand, Gregor
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Tomson, Tanja
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Torelli, Francesco
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Traver-Salcedo, Vicente
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Vassilacopoulos, George
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Wajid, Usman
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Kyriazis, Dimosthenis, Autexier, Serge, Brondino, Ivan, Boniface, Michael, Donat, Lucas, Engen, Vegard, Fernandez, Rafael, Jimenez-Peris, Ricardo, Jordan, Blanca, Jurak, Gregor, Kiourtis, Athanasios, Kosmidis, Thanos, Lustrek, Mitja, Maglogiannis, Ilias, Manta, John, Martinez, Antonio, Mavrogiorgou, Argyro, Menychtas, Andreas, Montandon, Lydia, Nechifor, Cosmin-Septimin, Nifakos, Sokratis, Papageorgiou, Alexandra, Patino-Martinez, Marta, Perez, Manuel, Plagianakos, Vassilis, Stanimirovic, Dalibor, Starcand, Gregor, Tomson, Tanja, Torelli, Francesco, Traver-Salcedo, Vicente, Vassilacopoulos, George and Wajid, Usman (2017) CrowdHEALTH: holistic health records & big data analytics for health policy making and personalized health. In CrowdHEALTH: Holistic Health Records & Big Data Analytics for Health Policy Making and Personalized Health. vol. 238, IOS Press. pp. 19-23 . (doi:10.3233/978-1-61499-781-8-19).

Record type: Conference or Workshop Item (Paper)

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

Full text not available from this repository.

More information

Accepted/In Press date: 31 May 2017
e-pub ahead of print date: 7 July 2017
Published date: 7 July 2017
Venue - Dates: International Conference on Informatics, Management and Technology in Healthcare, Athens, Greece, 2017-07-07 - 2017-07-09

Identifiers

Local EPrints ID: 412972
URI: http://eprints.soton.ac.uk/id/eprint/412972
PURE UUID: eb35c1a2-78ee-4872-90ea-1ed23645ea1b

Catalogue record

Date deposited: 10 Aug 2017 16:30
Last modified: 02 Oct 2018 16:31

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Contributors

Author: Dimosthenis Kyriazis
Author: Serge Autexier
Author: Ivan Brondino
Author: Michael Boniface
Author: Lucas Donat
Author: Vegard Engen
Author: Rafael Fernandez
Author: Ricardo Jimenez-Peris
Author: Blanca Jordan
Author: Gregor Jurak
Author: Athanasios Kiourtis
Author: Thanos Kosmidis
Author: Mitja Lustrek
Author: Ilias Maglogiannis
Author: John Manta
Author: Antonio Martinez
Author: Argyro Mavrogiorgou
Author: Andreas Menychtas
Author: Lydia Montandon
Author: Cosmin-Septimin Nechifor
Author: Sokratis Nifakos
Author: Alexandra Papageorgiou
Author: Marta Patino-Martinez
Author: Manuel Perez
Author: Vassilis Plagianakos
Author: Dalibor Stanimirovic
Author: Gregor Starcand
Author: Tanja Tomson
Author: Francesco Torelli
Author: Vicente Traver-Salcedo
Author: George Vassilacopoulos
Author: Usman Wajid

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