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

Projektinformationen

IDEA4RC

ID Finanzhilfevereinbarung: 101057048

DOI

10.3030/101057048

EK-Unterschriftsdatum 23 Mai 2022

Startdatum 1 September 2022

Enddatum 31 August 2026

Finanziert unter

• Health

Gesamtkosten

€ 8 190 468,01

EU-Beitrag

€ 8 190 468,00

Koordiniert durch

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Conference proceedings (1)

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

Autoren: Laura Lopez-Perez, Eugenio Gaeta, Itziar Alonso, Alejo Esteban, Victor Gerardo Dominguez, Maria Fernanda Cabrera, Maria Teresa Arredondo & Giuseppe Fico
Veröffentlicht in: MEDICON’23 and CMBEBIH’23 Conference paper, 2024, ISSN 1433-9277
Herausgeber: 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

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