首页> 外文期刊>The Journal of molecular diagnostics: JMD >System for Informatics in the Molecular Pathology Laboratory An Open-Source End-to-End Solution for Next-Generation Sequencing Clinical Data Management
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System for Informatics in the Molecular Pathology Laboratory An Open-Source End-to-End Solution for Next-Generation Sequencing Clinical Data Management

机译:分子病理实验室中信息学系统是下一代测序临床数据管理的开源端到端解决方案

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摘要

Next-generation sequencing (NGS) diagnostic assays increasingly are becoming the standard of care in oncology practice. As the scale of an NGS laboratory grows, management of these assays requires organizing large amounts of information, including patient data, laboratory processes, genomic data, as well as variant interpretation and reporting. Although several Laboratory Information Systems and/or Laboratory Information Management Systems are commercially available, they may not meet all of the needs of a given Laboratory, in addition to being frequently cost-prohibitive. Herein, we present the System for Informatics in the Molecular Pathology Laboratory (SIMPL), a free and open-source Laboratory Information System/Laboratory Information Management System for academic and nonprofit molecular pathology NGS laboratories, developed at the Genomic and Molecular Pathology Division at the University of Chicago Medicine. SIMPL was designed as a modular end-to-end information system to handle all stages of the NGS laboratory workload from test order to reporting. We describe the features of SIMPL, its clinical validation at University of Chicago Medicine, and its installation and testing within a different academic center laboratory (University of Colorado), and we propose a platform for future community co-development and interlaboratory data sharing.
机译:下一代测序(NGS)诊断测定越来越多地成为肿瘤学实践的护理标准。随着NGS实验室的规模增长,这些测定的管理需要组织大量信息,包括患者数据,实验室流程,基因组数据以及变异解释和报告。虽然几种实验室信息系统和/或实验室信息管理系统是商业上可用的,但除了经常成本越长的情况之外,它们可能无法满足给定实验室的所有需求。在此,我们在分子病理实验室(简化),自由和开源实验室信息系统/实验室信息管理系统中的信息学系统,用于学术和非营利性的分子病理学NGS实验室,在基因组和分子病理学划分芝加哥大学医学。 Simple被设计为模块化端到端信息系统,以处理NGS实验室工作量的所有阶段从测试订单到报告。我们描述了芝加哥大学的简单,其临床验证的特点,以及在不同的学术中心实验室(科罗拉多大学)内的安装和测试,我们提出了一个未来社区共同发展和互借数据共享的平台。

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