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，患者电子健康记录（EHR）系统的采用迅速增长，以及EHR与研究生物库的联系，评估EHR数据用于临床和转化研究的适用性变得越来越重要，这对基因组学和观察研究、临床试验和比较有效性研究产生了影响。在电子病历中识别患者队列的一个关键组成部分是定义纳入和排除标准，该标准是基于存储的临床数据通过算法选择一组患者。这一过程通常被称为“ehr驱动的表型”，由于缺乏广泛接受的、基于标准的定义表型算法的正式信息模型，这一过程既耗时又乏味。为了应对这一整体挑战，拟议的项目将设计、建立和促进一个开放获取的社区基础设施，用于基于标准的表型算法的开发和共享，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，以便在本地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.