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Analysis of institutional authors

Fernandez, RafaelAuthorPatiño-Martínez, MartaAuthor

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June 9, 2019
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CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health

Publicated to:Studies In Health Technology And Informatics. 238 19-23 - 2017-01-01 238(), DOI: 10.3233/978-1-61499-781-8-19

Authors: 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; Mantas, John; Martinez, Antonio; Mavrogiorgou, Argyro; Menychtas, Andreas; Montandon, Lydia; Nechifor, Cosmin-Septimiu; Nifakos, Sokratis; Papageorgiou, Alexandra; Patino-Martinez, Marta; Perez, Manuel; Plagianakos, Vassilis; Stanimirovic, Dalibor; Starc, Gregor; Tomson, Tanja; Torelli, Francesco; Traver-Salcedo, Vicente; Vassilacopoulos, George; Wajid, Usman

Affiliations

Atos Spain SA, Madrid, Spain - Author
BioAssist SA, Athens, Greece - Author
CareAcross Ltd, London, England - Author
Deutsch Forschungszentrum Kunstliche Intelligenz, Bremen, Germany - Author
Engn Ingn Informat, Rome, Italy - Author
European Federat Med Informat, Lausanne, Switzerland - Author
Hosp Univ la Fe, Fdn Invest, Valencia, Spain - Author
Informat Catalyst, London, England - Author
Inst Jozef Stefan, Ljubljana, Slovenia - Author
Karolinska Inst, Stockholm, Sweden - Author
LeanXcale, Madrid, Spain - Author
Nacionalni Inst Javno Zdravje, Ljubljana, Slovenia - Author
Natl Org Hlth Care Serv Provis, Athens, Greece - Author
Siemens SRL, Brasov, Romania - Author
Univ Ljubljana, Ljubljana, Slovenia - Author
Univ Piraeus, Piraeus, Greece - Author
Univ Politecn Madrid, Madrid, Spain - Author
Univ Southampton, IT Innovat Ctr, Southampton, Hants, England - Author
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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.

Keywords

Big dataDisease preventionElectronic health recordsHealth analyticsHealth policyHealth promotionHolistic healthHumansPolicy makingPublic health policy makingRisk assessmentTelemedicine

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-08:

  • WoS: 15
  • Scopus: 25

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-08:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 57 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Germany; Greece; Italy; Oman; Slovenia; Sweden; Switzerland; United Kingdom; United States of America.