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

Informations projet

IDEA4RC

N° de convention de subvention: 101057048

DOI

10.3030/101057048

Date de signature de la CE 23 Mai 2022

Date de début 1 Septembre 2022

Date de fin 31 Août 2026

Financé au titre de

• Health

Coût total

€ 8 190 468,01

Contribution de l’UE

€ 8 190 468,00

Coordonné par

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (11)

Data Management Plan

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

Rare Cancer Pilots selection

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

Data Ecosystem final guide

D2.2 Data Ecosystem final guide (UU, M33), final recommendations to maximize ecosystem self-sustainability.

Standards for a Rare Cancer Data Ecosystem

D10.3 Standards for a Rare Cancer Data Ecosystem (HL7, M30), report on standard relevant for the enlarged ecosystem.

Specification of multimodality navigation

D6.1 Specification of multimodality navigation (UPM, M21), specs needed to drive work in other Tasks.

Pilot deployment plan

D9.1 Pilot deployment plan (UPM, M24), plan for technically configure and set up pilot (re-)use cases.

Quality Plan

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

Pilot data governance

D8.2 Pilot data governance (NIOC, M18). Description of the legal and organizational frameworks to be applied-for data governance.

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.

Other (3)

Metadata taxonomy

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

Structured Data Model to support NLP NLU

D5.1 Structured Data Model to support NLP NLU (UDEU, M30), specific rare cancer ontology.

Communication materials (including website)

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

Publications

Book chapters (1)

Common European Data Spaces in Health Care: A Privacy-Preserving Ecosystem for Cancer Research

Auteurs: Simon Dalmolen, Jos van Hillegersberg, Hans Moonen, Erik Cornelisse, Jildau Bouwman, Andre Boorsma
Publié dans: Lecture Notes in Business Information Processing, Bridging Digital Sourcing, Platforms, and Ecosystems, 2025, ISBN 978-3-032-04512-6
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-04512-6_5

Conference proceedings (2)

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

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

Extending the Patient Summary for Rare Disease and Rare Cancers in the EHDS

Auteurs: Annalisa Trama, Ana Rath, Catherine Chronaki, Paolo G. Casali
Publié dans: Studies in Health Technology and Informatics, Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics, 2025
Éditeur: IOS Press
DOI: 10.3233/SHTI250741

Peer reviewed articles (2)

HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review

Auteurs: Roberta Gazzarata, Joao Almeida, Lars Lindsköld, Giorgio Cangioli, Eugenio Gaeta, Giuseppe Fico, Catherine E. Chronaki
Publié dans: International Journal of Medical Informatics, Numéro 189, 2024, ISSN 1386-5056
Éditeur: Elsevier BV
DOI: 10.1016/J.IJMEDINF.2024.105507

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

Auteurs: Anastassia Shaitarova, Jamil Zaghir, Alberto Lavelli, Michael Krauthammer, Fabio Rinaldi
Publié dans: Yearbook of medical informatics, 2023, ISSN 2364-0502
Éditeur: Georg Thieme Verlag KG
DOI: 10.1055/s-0043-1768726