Laws Reesa, Gillespie Suzanne, Puro Jon, Van Rompaey Stephan, Quach Thu, Carroll Joseph, Weir Rosy Chang, Crawford Phil, Grasso Chris, Kaleba Erin, McBurnie Mary Ann
Kaiser Permanente Northwest, Center for Health Research.
OCHIN, Inc.
EGEMS (Wash DC). 2014 Oct 14;2(3):1097. doi: 10.13063/2327-9214.1097. eCollection 2014.
The Community Health Applied Research Network, funded by the Health Resources and Services Administration, is a research network comprising 18 Community Health Centers organized into four Research Nodes (each including an academic partner) and a data coordinating center. The network represents more than 500,000 diverse safety net patients across 11 states.
The primary objective of this paper is to describe the development and implementation process of the CHARN data warehouse.
The methods involved regulatory and governance development and approval, development of content and structure of the warehouse and processes for extracting the data locally, performing validation, and finally submitting data to the data coordinating center.
Version 1 of the warehouse has been developed. Tables have been added, the population and the years of electronic health records (EHR) have been expanded for Version 2.
It is feasible to create a national, centralized data warehouse with multiple Community Health Center partners using different EHR systems. It is essential to allow sufficient time: (1) to develop collaborative, trusting relationships among new partners with varied technology, backgrounds, expertise, and interests; (2) to complete institutional, business, and regulatory review processes; (3) to identify and address technical challenges associated with diverse data environments, practices, and resources; and (4) to provide continuing data quality assessments to ensure data accuracy.
由卫生资源与服务管理局资助的社区卫生应用研究网络是一个研究网络,由18个社区卫生中心组成,分为四个研究节点(每个节点包括一个学术合作伙伴)和一个数据协调中心。该网络代表了11个州的50多万不同的安全网患者。
本文的主要目的是描述社区卫生应用研究网络(CHARN)数据仓库的开发和实施过程。
这些方法涉及监管和治理的制定与批准、仓库内容和结构的开发以及在本地提取数据、进行验证并最终将数据提交给数据协调中心的流程。
已开发出仓库的第1版。已添加表格,为第2版扩展了电子健康记录(EHR)的人群和年份。
与使用不同电子健康记录系统的多个社区卫生中心合作伙伴创建一个全国性的集中数据仓库是可行的。留出足够时间至关重要:(1)在具有不同技术、背景、专业知识和兴趣的新合作伙伴之间建立协作、信任的关系;(2)完成机构、业务和监管审查流程;(3)识别和解决与多样化数据环境、实践和资源相关的技术挑战;(4)提供持续的数据质量评估以确保数据准确性。