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首页> 外文期刊>International Journal of Population Data Science >Pan-Canadian Real-World Health Data Network: Building a National Data Platform
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Pan-Canadian Real-World Health Data Network: Building a National Data Platform

机译:泛加拿大真实世界卫生数据网络:构建国家数据平台

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IntroductionResearchers and decision makers from across Canada use linked provincial administrative data for analysis and to address research and policy questions. Currently there are several impediments to working harmoniously across provincial boundaries. A group of academic and policy researchers are working to address these multi-jurisdictional obstacles. Objectives and ApproachResearchers and data organizations from across Canada are working together as the Pan-Canadian Real-World Health Data Network PRHDN). PRHDN aims to: (1) create harmonized data, algorithms and analytic protocols, and (2) link administrative databases to other types of data, including electronic medical records, clinical trials records, “omics data” and records from pan-Canadian cohort studies. PRHDN’s vision is to construct a unified, documented infrastructure to advance pan-Canadian population-based research and analysis. This presentation incorporates material that is part of PRHDN’s response to a funding call to create national, collaborative infrastructure. ResultsScientists and staff at PRHDN organizations will create three main categories of infrastructure: 1) Algorithms: Reusable processes, ideally in the form of documented code, which implement a common approach or definition, e.g. to define cases or to create derived variables; 2) Harmonized Common Data: Based on the Sentinel model, we will establish a standardized subset of harmonized common data that are analysis-ready; 3) Common Analytic Protocols: Complementing work of the Canadian Network for Observational Drug Effect Studies (CNODES), we will establish processes for distributed analysis with common analytic protocols and meta-analysis of results to provide pan-Canadian estimates. Source data would remain within jurisdictional boundaries and only aggregate results would be pooled across jurisdictions. Details of these approaches will be presented. Conclusion/ImplicationsThis initiative will improve coordinated access to distributed data from across Canada that is built once then used by many stakeholders for a variety of purposes including: research, benchmarking, performance monitoring to identify gaps and opportunities for improvement, multi-jurisdictional evaluations of novel interventions and inter-jurisdictional comparisons.
机译:简介来自加拿大各地的研究人员和决策者使用链接的省级行政数据进行分析并解决研究和政策问题。当前,跨省边界协调工作存在若干障碍。一群学术和政策研究人员正在努力解决这些多辖区障碍。目标和方法来自加拿大各地的研究人员和数据组织正在作为泛加拿大真实世界卫生数据网络(PRHDN)共同努力。 PRHDN旨在:(1)创建统一的数据,算法和分析协议,以及(2)将管理数据库链接到其他类型的数据,包括电子病历,临床试验记录,“组学数据”以及来自泛加拿大队列研究的记录。 PRHDN的愿景是构建一个统一的,有文件记录的基础设施,以推进泛加拿大人口为基础的研究和分析。本演示文稿包含PRHDN对建立国家协作基础设施的筹资呼吁的回应的一部分内容。结果PRHDN组织的科学家和员工将创建三类主要的基础架构:1)算法:可重用的过程,理想情况下以文档代码的形式,实现通用的方法或定义,例如定义案例或创建派生变量; 2)统一的公共数据:基于Sentinel模型,我们将建立可用于分析的统一的公共数据的标准化子集; 3)通用分析规程:作为加拿大观察性药物效应研究网络(CNODES)的补充工作,我们将建立具有通用分析规程和结果的荟萃分析的分布式分析流程,以提供全加拿大的估算。源数据将保留在辖区范围内,并且仅汇总结果将跨辖区合并。将介绍这些方法的详细信息。结论/含义该计划将改善从加拿大各地对分布式数据的协调访问,该数据一旦被许多利益相关者用于各种目的,包括:研究,基准测试,性能监控以发现差距和改进机会,对新小说进行多辖区评估干预措施和跨地区比较。

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