The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research - l'unam - université nantes angers le mans
Journal Articles Studies in Health Technology and Informatics Year : 2024

The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research

Abstract

The Ouest Data Hub (ODH) a project lead by GCS HUGO which is a cooperation group of University Hospitals in the French Grand Ouest region represents a groundbreaking initiative in this territory, advancing health data sharing and reuse to support research driven by real-world health data. Central to its structure are the Clinical Data Warehouses (CDWs) and Clinical Data Centers (CDCs), essential for analytics and as the linchpin of the ODH’s status as an interregional Learning Health System. Aimed at fostering innovation and research, the ODH’s collaborative and multi-institutional model effectively utilizes both local and shared resources. Yet, the path is not without challenges, especially in data quality and interoperability, where ongoing harmonization and standard adherence are critical. In 2023, this facilitated access to extensive health data from over 9.3 million patient records, demonstrating the ODH’s capacity for both monocentric and multicentric research across various clinical fields, in close collaboration with physicians. The integration of healthcare professionals is crucial, ensuring data’s clinical relevance and guiding accurate interpretations. Future expansions of the ODH to new hospitals and data types promise to enhance its model further, already inspiring similar frameworks across France. This scalable model for health data ecosystems showcases the ODH’s potential as a foundation for national and supranational data sharing efforts.

Domains

Bioengineering
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Dates and versions

hal-04694424 , version 1 (11-09-2024)

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Marc Cuggia, Leslie Grammatico-Guillon, Pierre‐antoine Gourraud, Jean-Marie Chrétien, François Bocquet, et al.. The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research. Studies in Health Technology and Informatics, 2024, 316, pp.1679-1683. ⟨10.3233/shti240746⟩. ⟨hal-04694424⟩
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