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Data standardization implementation and applications within and among diagnostic laboratories: integrating and monitoring enteric coronaviruses
The Journal of Veterinary Diagnostic Investigation ( IF 1.2 ) Pub Date : 2021-03-19 , DOI: 10.1177/10406387211002163
Giovani Trevisan 1 , Leticia C M Linhares 1 , Kent J Schwartz 1 , Eric R Burrough 1 , Edison de S Magalhães 1 , Bret Crim 1 , Poonam Dubey 1 , Rodger G Main 1 , Phillip Gauger 1 , Mary Thurn 2 , Paulo T F Lages 2 , Cesar A Corzo 2 , Jerry Torrison 2 , Jamie Henningson 3 , Eric Herrman 3 , Rob McGaughey 3 , Giselle Cino 3 , Jon Greseth 4 , Travis Clement 4 , Jane Christopher-Hennings 4 , Daniel C L Linhares 1
Affiliation  

Every day, thousands of samples from diverse populations of animals are submitted to veterinary diagnostic laboratories (VDLs) for testing. Each VDL has its own laboratory information management system (LIMS), with processes and procedures to capture submission information, perform laboratory tests, define the boundaries of test results (i.e., positive or negative), and report results, in addition to internal business and accounting applications. Enormous quantities of data are accumulated and stored within VDL LIMSs. There is a need for platforms that allow VDLs to exchange and share portions of laboratory data using standardized, reliable, and sustainable information technology processes. Here we report concepts and applications for standardization and aggregation of data from swine submissions to multiple VDLs to detect and monitor porcine enteric coronaviruses by RT-PCR. Oral fluids, feces, and fecal swabs were the specimens submitted most frequently for enteric coronavirus testing. Statistical algorithms were used successfully to scan and monitor the overall and state-specific percentage of positive submissions. Major findings revealed a consistently recurrent seasonal pattern, with the highest percentage of positive submissions detected during December–February for porcine epidemic diarrhea virus, porcine deltacoronavirus, and transmissible gastroenteritis virus (TGEV). After 2014, very few submissions tested positive for TGEV. Monitoring VDL data proactively has the potential to signal and alert stakeholders early of significant changes from expected detection. We demonstrate the importance of, and applications for, data organized and aggregated by using LOINC and SNOMED CTs, as well as the use of customized messaging to allow inter-VDL exchange of information.



中文翻译:

诊断实验室内部和之间的数据标准化实施和应用:整合和监测肠道冠状病毒

每天,来自不同动物种群的数千个样本被提交给兽医诊断实验室 (VDL) 进行测试。每个 VDL 都有自己的实验室信息管理系统 (LIMS),除了内部业务和内部业务之外,还有用于捕获提交信息、执行实验室测试、定义测试结果的边界(即阳性或阴性)和报告结果的流程和程序。会计应用。大量数据在 VDL LIMS 中累积和存储。需要允许 VDL 使用标准化、可靠和可持续的信息技术流程交换和共享部分实验室数据的平台。在这里,我们报告了从猪提交到多个 VDL 的数据标准化和聚合的概念和应用,以通过 RT-PCR 检测和监测猪肠道冠状病毒。口腔液、粪便和粪便拭子是最常提交用于肠道冠状病毒检测的样本。统计算法成功地用于扫描和监控积极提交的整体和特定州的百分比。主要研究结果揭示了持续反复出现的季节性模式,在 12 月至 2 月期间检测到猪流行性腹泻病毒、猪三角冠状病毒和传染性胃肠炎病毒 (TGEV) 的阳性提交比例最高。2014 年之后,很少有提交的 TGEV 检测呈阳性。主动监控 VDL 数据有可能在预期检测发生重大变化时尽早向利益相关者发出信号并提醒他们。我们展示了使用 LOINC 和 SNOMED CT 组织和聚合的数据的重要性和应用,以及使用自定义消息传递来允许 VDL 间的信息交换。

更新日期:2021-03-19
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