The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

Autor:	Kyriazis D; University of Piraeus, Piraeus, Greece., Autexier S; Deutsches Forschungszentrumfür Künstliche Intelligenz, Bremen, Germany., Boniface M; University of Southampton, IT Innovation Centre, Southampton, United Kingdom., Engen V; University of Southampton, IT Innovation Centre, Southampton, United Kingdom., Jimenez-Peris R; Deutsches Forschungszentrumfür Künstliche Intelligenz, Bremen, Germany., Jordan B; University of Piraeus, Piraeus, Greece.; Deutsches Forschungszentrumfür Künstliche Intelligenz, Bremen, Germany., Jurak G; University of Ljubljana, Ljubljana, Slovenia., Kiourtis A; University of Piraeus, Piraeus, Greece., Kosmidis T; CareAcross Ltd, London, United Kingdom., Lustrek M; InstitutJozef Stefan, Ljubljana, Slovenia., Maglogiannis I; University of Piraeus, Piraeus, Greece., Mantas J; European Federation for Medical informatics, Lausanne, Switzerland., Martinez A; Fundación para la Investigación del Hospital Universitario la Fe, Valencia, Spain., Mavrogiorgou A; University of Piraeus, Piraeus, Greece., Menychtas A; BioAssist SA, Athens, Greece., Montandon L; ATOS Spain SA, Madrid, Spain., Nechifor CS; Siemens SRL, Brasov, Romania., Nifakos S; Karolinska Institutet, Stockholm, Sweden., Papageorgiou A; National Organization for Health Care Services Provision, Athens, Greece., Patino-Martinez M; Universidad Politécnica de Madrid, Madrid, Spain., Perez M; ATOS Spain SA, Madrid, Spain., Plagianakos V; National Organization for Health Care Services Provision, Athens, Greece., Stanimirovic D; Nacionalni Institut za Javno Zdravje, Ljubljana, Slovenia., Starc G; University of Ljubljana, Ljubljana, Slovenia., Tomson T; Karolinska Institutet, Stockholm, Sweden., Torelli F; Engineering Ingegneria Informatica, Rome, Italy., Traver-Salcedo V; Fundación para la Investigación del Hospital Universitario la Fe, Valencia, Spain., Vassilacopoulos G; University of Piraeus, Piraeus, Greece., Magdalinou A; European Federation for Medical informatics, Lausanne, Switzerland., Wajid U; Information Catalyst, London, United Kingdom.
Jazyk:	angličtina
Zdroj:	Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH [Acta Inform Med] 2019 Dec; Vol. 27 (5), pp. 369-373.
DOI:	10.5455/aim.2019.27.369-373
Abstrakt:	Introduction: With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology interoperability and the large amounts of health-related data, data exploitation has not reached its full potential yet. Aim: The aim of the CrowdHEALTH approach, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants defining health status by using big data management mechanisms. Methods: HHRs are transformed into HHRs clusters capturing the clinical, social and human context with the aim to benefit from the collective knowledge. The presented approach integrates big data technologies, providing Data as a Service (DaaS) to healthcare professionals and policy makers towards a "health in all policies" approach. A toolkit, on top of the DaaS, providing mechanisms for causal and risk analysis, and for the compilation of predictions is developed. Results: CrowdHEALTH platform is based on three main pillars: Data & structures, Health analytics, and Policies. Conclusions: A holistic approach for capturing all health determinants in the proposed HHRs, while creating clusters of them to exploit collective knowledge with the aim of the provision of insight for different population segments according to different factors (e.g. location, occupation, medication status, emerging risks, etc) was presented. The aforementioned approach is under evaluation through different scenarios with heterogeneous data from multiple sources. Competing Interests: None declared. (© 2019 Article Authors.)
Databáze:	MEDLINE
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