Research Project
IDEA4RC: Intelligent Ecosystem to improve the management of rare cancers
Hence, the need to create a framework for a European ad-hoc data ecosystem, encompassing multiple sources in multiple EU countries and supported by:
The IDEA4RC project extends HL7 FHIR concepts to a distributed data sharing environment by: realising a set of AI-tools ensuring interoperability and access to structured data from different sources, leveraging novel AI approaches for achieving multi-lingual Natural Language Processing (NLP) to allow data extraction and standardization of unstructured data (e.g. text), data interpretation and datasets integration, implementing a data governance facilitating the negotiation of relevant data sharing agreements, the collection of patient consent and the enforcement of accountability.
Engineering is responsible for the design and implementation of the data integration flow from heterogeneous sources and the interface for defining patient cohorts based on HL7 FHIR standards. Engineering is also involved in the development of the platform enabling the use of predictive models based on artificial intelligence.
The project has received funding from the EU Horizon 2020 (contract no. 101057048).
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