Advancing healthcare through data: the BETTER project's vision for distributed analytics.
FAIR principles
data space
distributed analytics
healthcare
rare diseases
Journal
Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047
Informations de publication
Date de publication:
2024
2024
Historique:
received:
31
07
2024
accepted:
12
09
2024
medline:
17
10
2024
pubmed:
17
10
2024
entrez:
17
10
2024
Statut:
epublish
Résumé
Data-driven medicine is essential for enhancing the accessibility and quality of the healthcare system. The availability of data plays a crucial role in achieving this goal. We propose implementing a robust data infrastructure of FAIRification and data fusion for clinical, genomic, and imaging data. This will be embedded within the framework of a distributed analytics platform for healthcare data analysis, utilizing the Personal Health Train paradigm. This infrastructure will ensure the findability, accessibility, interoperability, and reusability of data, metadata, and results among multiple medical centers participating in the BETTER Horizon Europe project. The project focuses on studying rare diseases, such as intellectual disability and inherited retinal dystrophies. The anticipated impacts will benefit a wide range of healthcare practitioners and potentially influence health policymakers.
Identifiants
pubmed: 39416867
doi: 10.3389/fmed.2024.1473874
pmc: PMC11480012
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1473874Informations de copyright
Copyright © 2024 Bregonzio, Bernasconi and Pinoli.
Déclaration de conflit d'intérêts
MB was employed by Datrix S.p.A. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.