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RE-SAMPLE

Project description

Proactive and tailor-made care for complex chronic conditions

Timely and preventive care is essential for multi-morbid complex chronic conditions (CCCs) which are highly prevalent in patients with chronic obstructive pulmonary disease, a chronic lung disease. The EU-funded RE-SAMPLE project will develop evidence-based, inclusive, preventive care and targeted treatment, making it possible to ‘treat a person, not the disease(s)’. A knowledge base of multimodal data (health records, clinical studies and real-world data) together with predictive modelling through privacy-preserving AI, will increase the understanding of CCCs. This knowledge is incorporated in a virtual companionship programme that facilitates shared decision-making and is implemented in three hospitals around Europe. Overall, RE-SAMPLE works towards a diversified, personalised care method that reduces the societal and economic burden of CCCs.

Objective

Multi-morbid complex chronic conditions (CCCs) are highly prevalent in patients with Chronic Obstructive Pulmonary Disease (COPD). As they have common risk factors and overlapping symptoms, this easily leads to delay of appropriate treatment. Timely and preventive care is essential, as exacerbations of COPD and CCCs are detrimental to patient, health and social outcomes. RE-SAMPLE will take a giant leap in the field of CCC disease management building upon and going beyond existing initiatives, towards evidence-based, inclusive, preventive care and targeted treatment, enabling to “treat a person, not the disease(s)”. RE-SAMPLE will create 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. The inclusive design and citizen science approach, provides us with credible and accepted RWD tools and a patient-centred eHealth “companionship programme”. GDPR-compliance is carefully integrated from the beginning, and our platform allows for a strong advancement in secure algorithms using multi-party computation. Our AI approach enables statistical validation following clinical standards and useful explanations to build up clinical evidence and trust by the users. As such RE-SAMPLE will act upon the need for diversified, personalized care to alleviate the overall societal and economic burden of these CCCs. The RE-SAMPLE project significantly impact towards this direction not only through the development of the platform and companionship programme, but also through its implementation throughout Europe, enabling and guiding healthcare organizations its uptake in the privacy-sensitive domain of healthcare.

Call for proposal

H2020-SC1-BHC-2018-2020

See other projects for this call

Sub call

H2020-SC1-2020-Single-Stage-RTD

Coordinator

UNIVERSITEIT TWENTE
Net EU contribution
€ 1 159 390,00
Address
DRIENERLOLAAN 5
7522 NB Enschede
Netherlands

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Region
Oost-Nederland Overijssel Twente
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 1 159 390,00

Participants (10)