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

This data was imported from PubMed:

Authors: Kyriazis, D., Engen, V. et al.

http://eprints.bournemouth.ac.uk/33671/

Journal: Stud Health Technol Inform

Volume: 238

Pages: 19-23

eISSN: 1879-8365

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.

This data was imported from Scopus:

Authors: Kyriazis, D., Engen, V. et al.

http://eprints.bournemouth.ac.uk/33671/

Journal: Studies in Health Technology and Informatics

Volume: 238

Pages: 19-23

eISSN: 1879-8365

ISSN: 0926-9630

DOI: 10.3233/978-1-61499-781-8-19

© 2017 The authors and IOS Press. All rights reserved. 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.

This data was imported from Web of Science (Lite):

Authors: Kyriazis, D., Engen, V. et al.

http://eprints.bournemouth.ac.uk/33671/

Journal: INFORMATICS EMPOWERS HEALTHCARE TRANSFORMATION

Volume: 238

Pages: 19-23

eISSN: 1879-8365

ISSN: 0926-9630

DOI: 10.3233/978-1-61499-781-8-19

The data on this page was last updated at 05:25 on October 26, 2020.