An architecture for research computing in health to support clinical and translational investigators with electronic patient data.
An architecture for research computing in health to support clinical and translational investigators with electronic patient data.
复制标题
DOI：
10.1093/jamia/ocab266
复制
发表时间：
2022-03-15
期刊：
影响因子：
--
通讯作者：
Cole CL
中科院分区：
文献类型：
--
作者：
Campion TR;Sholle ET;Pathak J;Johnson SB;Leonard JP;Cole CL
获取电子患者数据，特别是从电子健康记录（EHR）系统，用于临床和转化研究是困难的。存在多个研究信息系统，但导航众多的应用程序可能是科学家的挑战。本文介绍了健康研究计算体系结构（Architecture for Research Computing in Health，缩写为ARMS），该体系结构是我们机构为研究人员提供获取电子患者数据的工具和服务的方法。支持从人群到个人的研究范围，ESTA提供了广泛的科学功能，包括但不限于队列发现，电子数据采集和多机构数据共享，这些功能在特定的系统中表现出来，如i2b2，REDCap和PCORnet。通过协商过程，研究人员将研究者与研究设计、数据源和成本方面的工具联系起来。虽然大多数服务都是免费的，但高级服务需要付费。自2016年以来，在威尔康奈尔医学院，他通过超过4177次咨询支持了1200多名独特的研究人员。值得注意的是，可持续发展基础设施为研究和患者护理提供了2019年关键冠状病毒病应对活动。该公司提供了一个技术、监管、财务和教育框架，以支持生物医学研究企业使用电子患者数据。信息学家、生物统计学家和临床医生之间的合作对于快速生成和分析EHR数据至关重要。一套工具和服务，帮助匹配研究人员与信息系统，以减少时间的科学。他促进了威尔康奈尔医学的研究，并可能为信息学和研究领导者提供一个模型，以支持其他地方的科学家。
Obtaining electronic patient data, especially from electronic health record (EHR) systems, for clinical and translational research is difficult. Multiple research informatics systems exist but navigating the numerous applications can be challenging for scientists. This article describes Architecture for Research Computing in Health (ARCH), our institution’s approach for matching investigators with tools and services for obtaining electronic patient data. Supporting the spectrum of studies from populations to individuals, ARCH delivers a breadth of scientific functions—including but not limited to cohort discovery, electronic data capture, and multi-institutional data sharing—that manifest in specific systems—such as i2b2, REDCap, and PCORnet. Through a consultative process, ARCH staff align investigators with tools with respect to study design, data sources, and cost. Although most ARCH services are available free of charge, advanced engagements require fee for service. Since 2016 at Weill Cornell Medicine, ARCH has supported over 1200 unique investigators through more than 4177 consultations. Notably, ARCH infrastructure enabled critical coronavirus disease 2019 response activities for research and patient care. ARCH has provided a technical, regulatory, financial, and educational framework to support the biomedical research enterprise with electronic patient data. Collaboration among informaticians, biostatisticians, and clinicians has been critical to rapid generation and analysis of EHR data. A suite of tools and services, ARCH helps match investigators with informatics systems to reduce time to science. ARCH has facilitated research at Weill Cornell Medicine and may provide a model for informatics and research leaders to support scientists elsewhere.
登录
查看更多内容
影响因子：
4.8
作者：
Cusick M;Adekkanattu P;Campion TR Jr;Sholle ET;Myers A;Banerjee S;Alexopoulos G;Wang Y;Pathak J
通讯作者：
Pathak J
DOI：
10.1056/nejmsr1809937
发表时间：
2019-08-15
期刊：
The New England journal of medicine
影响因子：
--
作者：
All of Us Research Program Investigators;Denny JC;Rutter JL;Goldstein DB;Philippakis A;Smoller JW;Jenkins G;Dishman E
通讯作者：
Dishman E
DOI：
10.1136/amiajnl-2014-002764
发表时间：
2014-07
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
Kaushal R;Hripcsak G;Ascheim DD;Bloom T;Campion TR Jr;Caplan AL;Currie BP;Check T;Deland EL;Gourevitch MN;Hart R;Horowitz CR;Kastenbaum I;Levin AA;Low AF;Meissner P;Mirhaji P;Pincus HA;Scaglione C;Shelley D;Tobin JN;NYC-CDRN
通讯作者：
NYC-CDRN
影响因子：
5.3
作者：
Kamel, Hooman;Okin, Peter M.;Kim, Jiwon
通讯作者：
Kim, Jiwon
DOI：
10.1093/jamia/ocaa196
发表时间：
2021-03-01
影响因子：
6.4
作者：
Haendel, Melissa A.;Chute, Christopher G.;Gersing, Ken R.
通讯作者：
Gersing, Ken R.