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RE-SAMPLE

Descrizione del progetto

Cure proattive e su misura per condizioni croniche complesse

Cure tempestive e preventive sono essenziali per condizioni croniche complesse multi morbose, estremamente prevalenti in pazienti affetti da broncopneumopatia cronica ostruttiva, una malattia polmonare cronica. Il progetto RE-SAMPLE, finanziato dall’UE, svilupperà cure e un trattamento mirato basati sulle evidenze, inclusivi e preventivi, rendendo possibile «il trattamento della persona, non della/e malattia/e». Una base di conoscenze di dati multimodali (cartelle cliniche, studi clinici e dati del mondo reali), assieme a una modellizzazione predittiva attraverso un’intelligenza artificiale rispettosa della riservatezza, incrementeranno la comprensione delle condizioni croniche complesse. Queste conoscenze sono incorporate in un programma di compagnia virtuale che facilita il processo decisionale condiviso, attuato in tre ospedali europei. Nel complesso, il progetto RE-SAMPLE lavora a un metodo di cura diversificato e personalizzato che riduca l’onere sociale ed economico delle condizioni croniche complesse.

Obiettivo

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.

Invito a presentare proposte

H2020-SC1-BHC-2018-2020

Vedi altri progetti per questo bando

Bando secondario

H2020-SC1-2020-Single-Stage-RTD

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

UNIVERSITEIT TWENTE
Contribution nette de l'UE
€ 1 159 390,00
Indirizzo
DRIENERLOLAAN 5
7522 NB Enschede
Paesi Bassi

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Regione
Oost-Nederland Overijssel Twente
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 159 390,00

Partecipanti (10)