Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, United States.
Department of Pediatrics, Medical University of South Carolina, Charleston, South Carolina, United States.
Appl Clin Inform. 2019 Mar;10(2):307-315. doi: 10.1055/s-0039-1688477. Epub 2019 May 8.
Integration of electronic health records (EHRs) data across sites and access to that data remain limited.
We developed an EHR-based pediatric inpatient repository using nine U.S. centers from the National Institute of Child Health and Human Development Pediatric Trials Network.
A data model encompassing 147 mandatory and 99 optional elements was developed to provide an EHR data extract of all inpatient encounters from patients <17 years of age discharged between January 6, 2013 and June 30, 2017. Sites received instructions on extractions, transformation, testing, and transmission to the coordinating center.
We generated 177 staging reports to process all nine sites' 147 mandatory and 99 optional data elements to the repository. Based on 520 prespecified criteria, all sites achieved 0% errors and <2% warnings. The repository includes 386,159 inpatient encounters from 264,709 children to support study design and conduct of future trials in children.
Our EHR-based data repository of pediatric inpatient encounters utilized a customized data model heavily influenced by the PCORnet format, site-based data mapping, a comprehensive set of data testing rules, and an iterative process of data submission. The common data model, site-based extraction, and technical expertise were key to our success. Data from this repository will be used in support of Pediatric Trials Network studies and the labeling of drugs and devices for children.
电子健康记录(EHR)数据在各站点的整合以及对这些数据的访问仍然有限。
我们利用来自儿童健康与人类发展国家研究所儿科试验网络的 9 个美国中心,开发了一个基于 EHR 的儿科住院患者资料库。
我们开发了一个数据模型,其中包含 147 个必需元素和 99 个可选元素,以提供所有 17 岁以下患者在 2013 年 1 月 6 日至 2017 年 6 月 30 日之间出院的住院就诊的 EHR 数据提取。各中心收到了关于提取、转换、测试和传输到协调中心的指示。
我们生成了 177 个分期报告,以将所有九个中心的 147 个必需元素和 99 个可选数据元素处理到存储库中。根据 520 个预设标准,所有中心的错误率均为 0%,警告率均<2%。该存储库包含了来自 264709 名儿童的 386159 次住院就诊,用于支持未来儿科试验的研究设计和实施。
我们基于 EHR 的儿科住院患者就诊资料库利用了一个受 PCORnet 格式、基于站点的数据映射、一套全面的数据测试规则以及数据提交的迭代过程强烈影响的定制数据模型。通用数据模型、基于站点的提取和技术专业知识是我们成功的关键。该存储库中的数据将用于支持儿科试验网络的研究以及儿童用药和器械的标签。