HealthyCloud – Health Research & Innovation Cloud | HealthyCloud | Project | Results | H2020 | CORDIS

Risultati finali

Specifications for data access
Functional requirement analysis report of Use Case 2
Expected users' interactions

Expected users’ interactions

Framework of modular contract clauses for HRICs

Modular approach of clauses accompanied by a general guideline document that explains the different modules and their application

Functional requirement analysis report of Use Case 1
Final Strategic Agenda for the creation of a European Health Research and Innovation Cloud
Analysis of existing orchestration mechanisms for distributed computational analyses including a general overview to facilitate new developments
Validation of proposed solutions and gap analysis
Guidelines to establish sustainable computational infrastructures for the future HRIC ecosystem
Guideline on ELSI compliant governance models

A set of Guidelines for an ELSI compliant implementation of different HRIC governance approaches which will be aligned with the relevant initiatives and projects identified in task 21 and reviewed by the data protection authorities involved in task 24

Report on the usage and auditing data hubs indicators and proposal of an incentive system
Specifications for the FAIR data portal
First draft on legal framework for technical safeguards with a focus on cloud usage

Overview of GDPRspecific considerations privacy by design and requirements to support the selection of specifications necessary for a future cloud environment

Recommendations for integration in HealthyCloud, including an analysis of data hub patterns of governance

Recommendations for integration in HealthyCloud including an analysis of data hub patterns of governance

Landscape analysis using a health related-data catalogue matrix
Reference guidelines for the establishment of an ethically sound and legal compliant health data research ecosystem
Report on current discoverability solutions and FAIR adoption level
Guidelines to standardise metadata templates and assessment of FAIRness maturity levels
Landscape analysis of FAIRness levels of health-related data using catalogue matrix

Landscape analysis of FAIRness levels of healthrelated data using catalogue matrix

Data Management Plan

The data management plan will describe how data collected is processed and made available when necessary to stakeholders towards the collection of inputs for the Strategic Agenda D81 and D82 This deliverable will be regularly updated as needed throughout the project execution

Pubblicazioni

Secondary Use of Personal Health Data: When Is It “Further Processing” Under the GDPR, and What Are the Implications for Data Controllers?

Autori: Becker, R., Chokoshvili, D., Comandé, G., Dove, E. S., Hall, A., Mitchell, C., Molnár-Gábor, F., Nicolàs, P., Tervo, S., & Thorogood, A.
Pubblicato in: European Journal of Health Law, Numero 09290273, 2022, ISSN 0929-0273
Editore: Martinus Nijhoff Publishers
DOI: 10.1163/15718093-bja10094

Atrial Fibrillation Prediction by Combining ECG Markers and CMR Radiomics

Autori: Pujadas ER, Raisi-Estabragh Z, Szabo L, Morcillo CI, Campello VM, Martin-Isla C, Vago H, Merkely B, Harvey NC, Petersen SE, Lekadir K. Atrial fibrillation prediction by combining ECG markers and CMR radiomics. Sci Rep. 2022 Nov 7;12(1):18876. doi: 10.1038/s41598-022-21663-w. PMID: 36344532.
Pubblicato in: Scientific Reports, Numero 12, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-21663-w

Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

Autori: Liliana Szabo, Zahra Raisi-Estabragh, Ahmed Salih, Celeste McCracken, Esmeralda Ruiz Pujadas, Polyxeni Gkontra, Mate Kiss, Pal Maurovich-Horvath, Hajnalka Vago, Bela Merkely, Aaron M. Lee, Karim Lekadir, Steffen E. Petersen.
Pubblicato in: Frontiers in Cardiovascular Medicine, Numero 9, 2022, ISSN 2297-055X
Editore: Frontiers
DOI: 10.3389/fcvm.2022.1016032

Prediction of incident cardiovascular events using machine learning and CMR radiomics

Autori: Esmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, Celeste McCracken, Cristian Izquierdo Morcillo, Víctor M Campello, Carlos Martín-Isla, Angelica M Atehortua, Hajnalka Vago, Bela Merkely, Pal Maurovich-Horvat, Nicholas C Harvey, Stefan Neubauer, Steffen E Petersen, Karim Lekadir
Pubblicato in: European Radiology, Numero 33, 2023, Pagina/e 3488-3500, ISSN 1432-1084
Editore: SpringerLink
DOI: 10.1007/s00330-022-09323-z

Health data hubs: an analysis of existing data governance features for research

Autori: Celia Alvarez-Romero, Alicia Martínez-García, Máximo Bernabeu-Wittel, Carlos Luis Parra-Calderón
Pubblicato in: Health Research Policy and Systems, Numero 21, 2023, ISSN 1478-4505
Editore: BioMed Central
DOI: 10.1186/s12961-023-01026-1

Glossary of commonly used terms in the field of health data research - developed by the EU project HealthyCloud

Autori: Irene Kesisoglou; Shona Cosgrove; Pascal Derycke; Petronille Bogaert; Annika Jacobsen; Marco Roos; Anna Niemeyer; Alicia Martinez Garcia; Adrian Thorogood; Petr Holub; Irene Schluender; Salvador Capella-Gutierrez; Juan Gonzalez Garcia; Celia Alvarez Romero; Teresa D'Altri; Amy Curwin; Laura Portell Silva; Lidia López Cuesta
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6787119

HealthyCloud FAIRness assessment tool

Autori: Pascal Derycke, Irene Kesisoglou, Shona Cosgrove
Pubblicato in: 2022
Editore: HealthyCloud
DOI: 10.5281/zenodo.7038397

Elements of Secure Processing Environments (Workshop Report) V1.0

Autori: Schlünder, Irene; Mayrhofer, Michaela Th; Ene, Erdina
Pubblicato in: 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8341642

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HealthyCloud – Health Research & Innovation Cloud

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