A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.
A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study.
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DOI：
10.2196/40035
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发表时间：
2022-12-27
影响因子：
7.4
通讯作者：
Quinlan, Philip
中科院分区：
文献类型：
--
作者：
Jefferson, Emily;Cole, Christian;Mumtaz, Shahzad;Cox, Samuel;Giles, Thomas Charles;Adejumo, Sam;Urwin, Esmond;Lea, Daniel;Macdonald, Calum;Best, Joseph;Masood, Erum;Milligan, Gordon;Johnston, Jenny;Horban, Scott;Birced, Ipek;Hall, Christopher;Jackson, Aaron S.;Collins, Clare;Rising, Sam;Dodsley, Charlotte;Hampton, Jill;Hadfield, Andrew;Santos, Roberto;Tarr, Simon;Panagi, Vasiliki;Lavagna, Joseph;Jackson, Tracy;Chuter, Antony;Beggs, Jillian;Martinez-Queipo, Magdalena;Ward, Helen;von Ziegenweidt, Julie;Burns, Frances;Martin, Joanne;Sebire, Neil;Morris, Carole;Bradley, Declan;Baxter, Rob;Ahonen-Bishopp, Anni;Smith, Paul;Shoemark, Amelia;Valdes, Ana M.;Ollivere, Benjamin;Manisty, Charlotte;Eyre, David;Gallant, Stephanie;Joy, George;McAuley, Andrew;Connell, David;Northstone, Kate;Jeffery, Katie;Di Angelantonio, Emanuele;McMahon, Amy;Walker, Mat;Semple, Malcolm Gracie;Sims, Jessica Mai;Lawrence, Emma;Davies, Bethan;Baillie, John Kenneth;Tang, Ming;Leeming, Gary;Power, Linda;Breeze, Thomas;Murray, Duncan;Orton, Chris;Pierce, Iain;Hall, Ian;Ladhani, Shamez;Gillson, Natalie;Whitaker, Matthew;Shallcross, Laura;Seymour, David;Varma, Susheel;Reilly, Gerry;Morris, Andrew;Hopkins, Susan;Sheikh, Aziz;Quinlan, Philip
关键词：
作为临床护理和公共卫生服务以及许多定制和重新利用的研究工作的副产品，英国各地产生了COVID-19数据。对这些数据的分析为联合王国应对大流行提供了基础，并为公共卫生政策和临床指南提供了信息。然而，这些数据由不同的组织持有，这种碎片化的格局给公共卫生机构和研究人员带来了挑战，因为他们难以找到相关数据，以获取和查询他们需要的数据，以便及时为大流行应对提供信息。我们的目标是将英国COVID-19诊断数据集转变为可查找、可访问、可互操作和可重用（FAIR）。快速构建了联邦基础设施模型（COVID - Curated and Open Analysis and Research Platform [CO-CONNECT]），以便在不需要任何数据离开数据控制器的安全环境的情况下，将健康数据合作伙伴的假名数据自动和可重复地映射到观察性医疗结果合作伙伴公共数据模型，并支持联邦队列发现查询和元分析。来自19个组织的56个数据集正在连接到联合网络。这些数据包括通过与纵向卫生保健记录和人口统计数据相关的常规卫生保健提供收集的研究队列和COVID-19数据。基础设施是实时的，支持对整个英国的数据进行聚合级查询。CO-CONNECT由一个多学科团队开发。它能够快速发现COVID-19数据并跨数据源进行即时荟萃分析，并且正在研究简化的数据提取，以便在可信的研究环境中用于研究和公共卫生分析。CO-CONNECT有可能使英国的卫生数据更加相互关联，能够更好地回答国家级的研究问题，同时保持患者的机密性和地方治理程序。
COVID-19 data have been generated across the United Kingdom as a by-product of clinical care and public health provision, as well as numerous bespoke and repurposed research endeavors. Analysis of these data has underpinned the United Kingdom’s response to the pandemic, and informed public health policies and clinical guidelines. However, these data are held by different organizations, and this fragmented landscape has presented challenges for public health agencies and researchers as they struggle to find relevant data to access and interrogate the data they need to inform the pandemic response at pace. We aimed to transform UK COVID-19 diagnostic data sets to be findable, accessible, interoperable, and reusable (FAIR). A federated infrastructure model (COVID - Curated and Open Analysis and Research Platform [CO-CONNECT]) was rapidly built to enable the automated and reproducible mapping of health data partners’ pseudonymized data to the Observational Medical Outcomes Partnership Common Data Model without the need for any data to leave the data controllers’ secure environments, and to support federated cohort discovery queries and meta-analysis. A total of 56 data sets from 19 organizations are being connected to the federated network. The data include research cohorts and COVID-19 data collected through routine health care provision linked to longitudinal health care records and demographics. The infrastructure is live, supporting aggregate-level querying of data across the United Kingdom. CO-CONNECT was developed by a multidisciplinary team. It enables rapid COVID-19 data discovery and instantaneous meta-analysis across data sources, and it is researching streamlined data extraction for use in a Trusted Research Environment for research and public health analysis. CO-CONNECT has the potential to make UK health data more interconnected and better able to answer national-level research questions while maintaining patient confidentiality and local governance procedures.
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.
影响因子：
4.6
作者：
Abo-Leyah, Hani;Gallant, Stephanie;Chalmers, James D.
通讯作者：
Chalmers, James D.