Department of Biomedical Informatics, Rouen University Hospital, Rouen, France.
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, U1142, INSERM, Sorbonne Université & Sorbonne Paris Nord, Paris, France.
Stud Health Technol Inform. 2022 Jun 6;290:150-153. doi: 10.3233/SHTI220050.
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.
临床数据仓库 (CDW) 是金矿，对于管理 COVID-19 疫情可能很有用。本文详细介绍了使用 CDW 检索患者进行疫苗接种的情况。法国卫生当局公布了一份 34 种疾病（或病症）的清单，旨在针对有发展为 COVID-19 严重形式高风险的个人。使用多层次搜索引擎，根据结构化或非结构化数据使用自然语言处理功能构建了 23 个查询。诊断相关组编码系统单独用于三个查询（13.0%），与四个查询（17.4%）中的非结构化数据相结合，以及 16 个查询（69.6%）中单独使用非结构化数据。有 11 种疾病（病症）过于广泛，无法转化为查询。最后，检索到 6006 名唯一重新识别的患者。该用例证明了鲁昂大学医院 CDW 在检索患者进行除转化研究以外的其他用途方面的有用性。
