REal-time data monitoring for Shared, Adaptive, Multi-domain and Personalised prediction and decision making for Long-term Pulmonary care Ecosystems

Multi-morbid complex chronic conditions (CCCs) are highly prevalent in patients with Chronic Obstructive Pulmonary Disease (COPD) and timely and preventive care is essential. RE-SAMPLE will improve CCC disease management by creating a knowledge base of multimodal data from health records, clinical studies, expert and patient knowledge and guidelines, and extend this with state-of-the-art Real World Data collection. Predictive modelling through privacy-preserving Artificial Intelligence (AI), will increase the understanding of CCCs including the interdependence of multi-morbidities, and evidence in effective interventions for CCC disease management. As such RE-SAMPLE will act upon the need for diversified, personalized care to alleviate the overall societal and economic burden of these CCCs.

Duration: Mar 1, 2021 - Feb 28, 2025
Partners: University of Twente, Netherlands
Medisch Spectrum Twente hospital, Netherlands
University of Piraeus Systems Security Lab, Greece
Tartu Ülikooli Kliinikum, Estonia
Policlinico Gemelli hospital, Italy
European Hospital and Healthcare Federation, Belgium
Atos IT Solutions and Services, Spain
Roessingh Research and Development, Netherlands
Innovation Sprint, Belgium
Research area: Smart Living  
Grant number: 965315
last updated 25/03/2021
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