National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms

描述（由申请人提供）：由于有意义的使用，以及 EHR 与研究生物样本库的链接，患者电子健康记录 (EHR) 系统的采用迅速增加，评估 EHR 数据对临床和转化研究的适用性变得越来越重要，并对基因组和观察研究、临床试验和比较有效性研究产生影响。在 EHR 中识别患者群体的一个关键组成部分是定义纳入和排除标准，根据存储的临床数据通过算法选择患者组。这个过程通常被称为“EHR 驱动的表型分析”，因为缺乏广泛接受且基于标准的正式信息模型来定义表型分析算法，因此既耗时又乏味。为了应对这一总体挑战，拟议项目将设计、构建和推广一个开放访问社区基础设施，用于基于标准的开发和共享表型算法，并为调查人员、研究人员及其信息学支持人员提供工具和资源，以在本地 EHR 数据上实施和执行算法。

DESCRIPTION (provided by applicant): With the rapidly growing adoption of patient electronic health record (EHR) systems due to Meaningful Use, and linkage of EHRs to research biorepositories, evaluating the suitability of EHR data for clinical and translational research is becoming ever more important, with ramifications for genomic and observational research, clinical trials, and comparative effectiveness studies. A key component for identifying patient cohorts in the EHR is to define inclusion and exclusion criteria that algorithmically select sets o patients based on stored clinical data. This process is commonly referred to, as "EHR-driven phenotyping" is time-consuming and tedious due to the lack of a widely accepted and standards-based formal information model for defining phenotyping algorithms. To address this overall challenge, the proposed project will design, build and promote an open-access community infrastructure for standards-based development and sharing of phenotyping algorithms, as well as provide tools and resources for investigators, researchers and their informatics support staff to implement and execute the algorithms on native EHR data.