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. 2020 Jun 16:270:108-112.
doi: 10.3233/SHTI200132.

Cohort Creation and Visualization Using Graph Model in the PREDIMED Health Data Warehouse

Christophe Cancé  1 , Pierre-Ephrem Madiot  2 , Christian Lenne  1 , Svetlana Artemova  2   3 , Brigitte Cohard  2 , Marjolaine Bodin  2   4 , Alban Caporossi  1   2   3   5 , Jean-François Blatier  2 , Jerôme Fauconnier  2 , Frédérique Olive  2 , Daniel Pagonis  2 , Dominique Le Magny  2 , Jean-Luc Bosson  1   2   3   5 , Katia Charriere  2   3 , Ivan Paturel  2 , Bruno Lavaire  2 , Gabriel Schummer  2 , Joseph Eterno  2 , Jean-Noël Ravey  2 , Ivan Bricault  1   2   3   5 , Gilbert Ferretti  1   2   6 , Sébastien Chanoine  1   2   5   6 , Pierrick Bedouch  1   2   5 , Emmanuel Barbier  4 , Julien Thevenon  1   2   6 , Pascal Mossuz  1   2   6 , Alexandre Moreau-Gaudry  1   2   3   5
Affiliations

Cohort Creation and Visualization Using Graph Model in the PREDIMED Health Data Warehouse

Christophe Cancé et al. Stud Health Technol Inform. .

Abstract

Grenoble Alpes University Hospital (CHUGA) is currently deploying a health data warehouse called PREDIMED [1], a platform designed to integrate and analyze for research, education and institutional management the data of patients treated at CHUGA. PREDIMED contains healthcare data, administrative data and, potentially, data from external databases. PREDIMED is hosted by the CHUGA Information Systems Department and benefits from its strict security rules. CHUGA's institutional project PREDIMED aims to collaborate with similar projects in France and worldwide. In this paper, we present how the data model defined to implement PREDIMED at CHUGA is useful for medical experts to interactively build a cohort of patients and to visualize this cohort.

Keywords: Complex and massive data; cohorts; data visualization; health data warehouse; medical informatics.

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