Intelligent Ecosystem to improve the governance, the sharing and the re-use of health Data for Rare Cancers

Informazioni relative al progetto

IDEA4RC

ID dell’accordo di sovvenzione: 101057048

DOI

10.3030/101057048

Data della firma CE 23 Maggio 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Health

Costo totale

€ 8 190 468,01

Contributo UE

€ 8 190 468,00

Coordinato da

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (2)

Metadata taxonomy

D2.5 Metadata taxonomy (UDEU, M12), upper ontology for data ecosystem modeling.

Communication materials (including website)

D11.2 Communication materials (INF, M9) logo, website and other materials continuously updated.

Documents, reports (6)

Rare Cancer Pilots selection

D8.1 Rare Cancer Pilots selection (INT, M9). Description of the pilot cases and relevant KPIs.

Data Management Plan

D1.2 Data management Plan (INT, M6). Updated as needed during the course of the project.

Quality Plan

D1.1 Quality Plan (INT, M6). Quality procedures for the project and the pilots.

Stakeholder Engagement Plan

D10.2 Stakeholder Engagement Plan (DICOR M6), plan for building the community of interest.

Plan for communication, dissemination and exploitation activities

D11.1 Plan for communication, dissemination and exploitation activities (INF, M6), overall plan for ensuring awareness and usage of project results.

FHIR Implementation Guide

D3.1 FHIR Implementation Guide (HL7, M18), FHIR profile adopted by the project for the Data Ecosystem.

Pubblicazioni

Conference proceedings (1)

Clinical Natural Language Processing and Health Interoperability to Support Knowledge Management and Governance in Rare Cancers

Autori: Laura Lopez-Perez, Eugenio Gaeta, Itziar Alonso, Alejo Esteban, Victor Gerardo Dominguez, Maria Fernanda Cabrera, Maria Teresa Arredondo & Giuseppe Fico
Pubblicato in: MEDICON’23 and CMBEBIH’23 Conference paper, 2024, ISSN 1433-9277
Editore: Publisher NameSpringer, Cham
DOI: 10.1007/978-3-031-49062-0_58

Peer reviewed articles (1)

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey

Autori: Anastassia Shaitarova, Jamil Zaghir, Alberto Lavelli, Michael Krauthammer, Fabio Rinaldi
Pubblicato in: Yearbook of medical informatics, 2023, ISSN 2364-0502
Editore: Georg Thieme Verlag KG
DOI: 10.1055/s-0043-1768726