Cohort Creation and Visualization Using Graph Model in the PREDIMED Health Data Warehouse.
Complex and massive data
cohorts
data visualization
health data warehouse
medical informatics
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
16 Jun 2020
16 Jun 2020
Historique:
entrez:
24
6
2020
pubmed:
24
6
2020
medline:
26
8
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32570356
pii: SHTI200132
doi: 10.3233/SHTI200132
doi:
Types de publication
Journal Article
Langues
eng