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 for 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.
ATOS is responsible for developing clinical data services that consider the aggregation of patient-specific data stored in a federated patient record. This is based on both the pilot site and real-world data contexts (RWD), as well as the availability of data, in accordance with the HL7 FHIR standard. The data is encoded using medical terminologies such as the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT).
Furthermore, ATOS defines and implements a framework that considers the rules governing the collection and combination of RWD for specific patient-collected data, whether taken at the hospital or at home. Therefore, ATOS provides GDPR-compliant security and scalability services for the aggregation of information for analysis and extraction of characteristics, which are key elements for ensuring quality and security of services nowadays.
