Project

CrowdHEALTH

Collective Wisdom Driving Public Health Policies

Collective Wisdom Driving Public Health Policies

  • Duration:

The aim of the international and multidisciplinary collaborative project CrowdHEALTH is to integrate these heterogeneous and distributed data uniformly and to provide analysis findings to decision-makers in the healthcare sector. For this purpose, the project partners develop a secure digital platform that integrates Big Data technologies along the entire data path and provides data as a service (DaaS) and analysis tools. This is intended to support stakeholders from the health sector for the development of public health objectives and measures. In addition, the project proposes a change to holistic patient records, which supplement conventional health records with additional health-related data, such as activity, lifestyle and nutritional data.

The DFKI research department Cyber-Physical Systems develops intelligent support systems that enable the automated collection of reliable, high-quality data on health-related factors, such as daily activities or dietary habits, which are compacted into holistic patient data. In addition, Big Data algorithms developed in CrowdHEALTH analyse and compare the health records in order to, for example, identify possible correlations between lifestyle, nutritional habits and activities to the health status.

In CrowdHEALTH, more than 200,000 citizens will participate in five pilot studies conducted by the cooperating institutions in different European countries. Apart from the quality, the reliability and completeness of the collected data and analyses, data privacy and protection aspects play a central role.

Partners

  • Atos (Spain), Coordinator
  • University of Piraeus Research Centre (Greece, Technical Coordinator
  • BioAssist (Greece)
  • Care Across (UK)
  • German Research Center for Artificial Intelligence (Germany)
  • Engineering (Italy)
  • European Federation for Medical Informatics (Switzerland)
  • Fundación para la Investigación del Hospital Universitario La Fe (Spain)
  • Information Catalyst (UK)
  • Jozef Stefan Institute (Slovenia)
  • Karolinska Institutet (Sweden)
  • LeanXcale (Spain)
  • National Institute of Public Health (Slovenia)
  • National Organization for Health Care Services Provision (Greece)
  • Siemens (Romania)
  • Singular Logic (Cyprus)
  • University of Ljubjiana (Slovenia)
  • Universidad Politécnica de Madrid (Spain)
  • University of Southampton (UK)

Sponsors

European Union (EU)

Call H2020-SC1-2016-CNECT, Grant 727560

European Union (EU)

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Contact Person
Dr.-Ing. Serge Autexier

Publications about the project

Mihai Codescu, Bernd Krieg-Brückner

In: Manuel F Silva , José Luís Lima , Luís Paulo Reis , Alberto Sanfeliu , Danilo Tardioli (editor). Robot 2019: Fourth Iberian Robotics Conference. Iberian Robotics Conference (ROBOT-2019) Fourth Iberian Robotics Conference, Advances in Robotics, Volume 1 November 20-22 Porto Portugal Pages 391-403 Advances in Intelligent Systems and Computing (AISC) 1092 ISBN 978-3-030-35989-8 Springer Nature Switzerland AG Cham 2020.

To the publication
Parisis Gallos, Santiago Aso, Arturo Brotons, Antonio De Nigro, Gregor Jurak, Athanasios Kiourtis, Pavlos Kranas, Dimosthenis Kyriazis, Mitja Lustrek, Andrianna Magdalinou, Ilias Maglogiannis, John Mantas, Antonio Martinez, Andreas Menychtas, Lydia Montandon, Florin Picioroaga, Manuel Perez, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Ruth Vilar-Mateo, Ana-Maria Vizitiu, Serge Autexier

In: Amnon Shabo Shvo , Inge Madsen , Hans-Ulrich Prokosch , Kristiina Häyrinen , Klaus-Hendrik Wolf , Fernando Martín-Sánchez , Matthias Löbe , Thomas M. Deserno (editor). ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany. EFMI Special Topic Conference (EFMI STC-2019) April 7-10 Hanover Germany Pages 255-256 Studies in Health Technology and Informatics 258 ISBN 978-1-61499-958-4 IOS Press 4/2019.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz