Hypergraph Based Data Model for Complex Health Data Exploration and Its Implementation in PREDIMED Clinical Data Warehouse - Archive ouverte HAL Access content directly
Book Sections Year : 2022

Hypergraph Based Data Model for Complex Health Data Exploration and Its Implementation in PREDIMED Clinical Data Warehouse

Abstract

Within the PREDIMED Clinical Data Warehouse (CDW) of Grenoble Alpes University Hospital (CHUGA), we have developed a hypergraph based operational data model, aiming at empowering physicians to explore, visualize and qualitatively analyze interactively the complex and massive information of the patients treated in CHUGA. This model constitutes a central target structure, expressed in a dual form, both graphical and formal, which gathers the concepts and their semantic relations into a hypergraph whose implementation can easily be manipulated by medical experts. The implementation is based on a property graph database linked to an interactive graphical interface allowing to navigate through the data and to interact in real time with a search engine, visualization and analysis tools. This model and its agile implementation allow for easy structural changes inherent to the evolution of techniques and practices in the health field. This flexibility provides adaptability to the evolution of interoperability standards.
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Dates and versions

hal-03923338 , version 1 (04-01-2023)

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Christophe Cancé, Christian Lenne, Svetlana Artemova, Pascal Mossuz, Alexandre Moreau-Gaudry. Hypergraph Based Data Model for Complex Health Data Exploration and Its Implementation in PREDIMED Clinical Data Warehouse. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/shti220091⟩. ⟨hal-03923338⟩
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