OMOP 通用数据模型在详细实验室微生物学结果中的可用性。
Usability of OMOP Common Data Model for Detailed Lab Microbiology Results.
机构信息
bioMérieux, Data Science, Grenoble, France.
出版信息
Stud Health Technol Inform. 2022 May 25;294:292-296. doi: 10.3233/SHTI220461.
Anti-microbial resistance surveillance systems in Europe are limited by the inability to link laboratory data and patient data. The OMOP Common Data Model (OMOP CDM) is an option to store and use patient data in an international context supporting observational research. Detailed medical microbiology laboratory data are usually not stored in OMOP CDM. We propose here a solution to deal with the inherent complexity of microbiology data and store those in the OMOP CDM v5.4. We demonstrate the feasibility of our approach by capturing data from a microbiology in vitro diagnostic middleware, modeling in OMOP CDM 5.4 and querying for visualization.
欧洲的抗菌药物耐药性监测系统受到无法将实验室数据与患者数据关联的限制。OMOP 通用数据模型(OMOP CDM)是一种在国际背景下存储和使用患者数据的选择,支持观察性研究。详细的医学微生物学实验室数据通常不会存储在 OMOP CDM 中。我们在这里提出了一种解决方案,以处理微生物学数据固有的复杂性,并将其存储在 OMOP CDM v5.4 中。我们通过从微生物学体外诊断中间件捕获数据、在 OMOP CDM 5.4 中建模以及查询可视化来证明我们方法的可行性。