Using Clinical Data Warehouse to Optimize the Vaccination Strategy Against COVID-19: A Use Case in France - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
Article Dans Une Revue Studies in Health Technology and Informatics Année : 2022

Using Clinical Data Warehouse to Optimize the Vaccination Strategy Against COVID-19: A Use Case in France

Résumé

Clinical Data Warehouses (CDW) are gold mines and may be useful to manage the COVID-19 outbreak. This article details the use of CDW in order to retrieve patients for vaccination purposes. A list of 34 diseases (or conditions) was published by French Health Authorities to target individuals at a high risk of developing a severe form of COVID. Using a multilevel search engine, 23 queries were built based on structured or unstructured data using natural language processing features. The Diagnosis Related Group coding system was used alone in three queries (13.0%), coupled with unstructured data in four queries (17.4%), and unstructured data were used alone in 16 queries (69.6%). Eleven diseases (conditions) were too broad to be translated into queries. Finally, 6,006 unique re-identified patients were retrieved. This use case demonstrates the usefulness of the Rouen University Hospital CDW in retrieving patients for other purposes than translational research.
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hal-03984797 , version 1 (30-05-2024)

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Julien Grosjean, Thibaut Pressat-Laffouilhère, Marie Ndangang, Jean-Philippe Leroy, Stéfan J. Darmoni. Using Clinical Data Warehouse to Optimize the Vaccination Strategy Against COVID-19: A Use Case in France. Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 290, pp.150-153. ⟨10.3233/SHTI220050⟩. ⟨hal-03984797⟩
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