CONNECARE EURECAT

Integrated and personalized management system based on participative, predictive and preventive medicine to provide a better quality of life to chronic disease patients. Connecare project develops a technological solution that allows a more efficient monitoring of the patient and a reduction of sanitary costs.

The solution developed by Connecare is based on P4 Medicine (Participative, Personalized, Predictive, and Preventive) involving a paradigm shift that will promote managing preventive medicine in patients’ homes. Aside from this, Connecare will also offer a technological solution developed through a combination of different types of technology resources to improve patient monitoring.

The Connecare solution will therefore significantly reduce health costs across Europe by guaranteeing a much more efficient monitoring of chronic diseases that ultimately will lead to better quality of life for patients.

The Connecare consortium is made up of nine partners from six different countries: Eurecat, the August Pi i Sunyer Biomedical Research Institute, the Lleida Biomedical Research Institute’s Dr. Pifarré Foundation (Spain), the University Medical Center of Groningen (the Netherlands), Advanced Digital Innovation (UK), eWave, Assuta Medical Centers (Israel), the Technical University of Munich (Germany), and the University of Modena and Reggio Emilia (Italy).

Connecare YouTube channel

General details

Project

CONNECARE

Programme
H2020-PHC 25 – 2015

H2020 LOGO EURECAT

PUBLICATIONS

  • M. Lippi, M. Mamei, S. Mariani, F. Zambonelli Distributed Speaking Objects: A Case for Massive Multiagent Systems. In: Lin D., Ishida T., Zambonelli F., Noda I. (eds) Massively Multi-Agent Systems II. MMAS 2018. Lecture Notes in Computer Science. 2019, vol 11422. Springer, Cham. https://doi.org/10.1007/978-3-030-20937-7 1
  • S. Mariani. Coordination of Complex Socio-Technical Systems: Challenges and Opportunities. In: Mazzara M., Ober I., Salaün G. (eds) Software Technologies: Applications and Foundations. STAF 2018. Lecture Notes in Computer Science, 2018, vol 11176. Springer, Cham. DOl: https://doi.org/10.1007/978-3- 030-04771-9 22
  • E. Vargiu, F. Zambonelli. Engineering loT Systems through Agent Abstractions: Smart Healthcare as a Case. Agents and Multi-agent Systems for Health-Care. S. Montagna, P.H. Abreu, S. Giroux, M.1. Schumacher (eds.). Lecture Notes in Computer Science, Springer, Vol. 10685, November 2017, pp. 25-39.