Nishchay Mehta, Baptiste Briot Ribeyre, Lilia Dimitrov, Louise J English, Colleen Ewart, Antje Heinrich, Nikhil Joshi, Kevin J Munro, Gail Roadknight, Luis Romao, Anne Gm Schilder, Ruth V Spriggs, Ruth Norris, Talisa Ross, George Tilston
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引用次数: 0
摘要
背景:英国国家健康与社会护理研究所(NIHR)成立了听力健康信息学合作组织(HIC),以整理常规收集的听力健康数据,解决研究问题。本研究定义了优先研究领域,概述了其目标和管理结构,并以纯音测听(PTA)为案例,展示了如何将听力健康数据整合到通用数据模型中:方法:在确定了听力健康的主要研究目标后,介绍了英国国家听力健康研究院听力健康信息中心的管理结构。我们选择了观察性医疗结果伙伴关系(OMOP)作为我们的通用数据模型,以提供一个案例研究范例:结果:NIHR HIC 听力健康主题开发了一个数据架构,将各种孤立的电子病历系统中的数据流外置,以便将电子病历系统中的数据有效连接到研究系统中。以 PTAs 为例,听力健康数据的 OMOPification 成功整理了多个中心的丰富数据点:本研究确定了常规收集的听力健康数据可能有用的优先研究领域。它展示了将这些数据整合到多个中心的通用数据模型中并使之标准化的过程。通过描述整个听力健康信息中心的数据共享过程,我们希望邀请更多中心提供并利用数据来解决听力健康方面的研究问题。这项全国性倡议能够利用常规收集的临床数据改变英国的听力研究和听力保健。
Creating a health informatics data resource for hearing health research.
Background: The National Institute of Health and Social Care Research (NIHR) Health Informatics Collaborative (HIC) for Hearing Health has been established in the UK to curate routinely collected hearing health data to address research questions. This study defines priority research areas, outlines its aims, governance structure and demonstrates how hearing health data have been integrated into a common data model using pure tone audiometry (PTA) as a case study.
Methods: After identifying key research aims in hearing health, the governance structure for the NIHR HIC for Hearing Health is described. The Observational Medical Outcomes Partnership (OMOP) was chosen as our common data model to provide a case study example.
Results: The NIHR HIC Hearing Health theme have developed a data architecture outlying the flow of data from all of the various siloed electronic patient record systems to allow the effective linkage of data from electronic patient record systems to research systems. Using PTAs as an example, OMOPification of hearing health data successfully collated a rich breadth of datapoints across multiple centres.
Conclusion: This study identified priority research areas where routinely collected hearing health data could be useful. It demonstrates integration and standardisation of such data into a common data model from multiple centres. By describing the process of data sharing across the HIC, we hope to invite more centres to contribute and utilise data to address research questions in hearing health. This national initiative has the power to transform UK hearing research and hearing care using routinely collected clinical data.
期刊介绍:
BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.