PDF(Pubmed)
Abstract：
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.
CONCLUSIONS: 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.
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.
CONCLUSIONS: 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.
摘要：
背景：英国已经建立了国家健康与社会保健研究所（NIHR）健康信息学合作听力健康（HIC），以管理常规收集的听力健康数据以解决研究问题。这项研究定义了优先研究领域，概述了它的目标，治理结构，并演示如何使用纯音测听法（PTA）作为案例研究将听力健康数据集成到通用数据模型中。
方法：在确定了听力健康的关键研究目标之后，描述了NIHR听力健康HIC的治理结构。选择观察性医学结果伙伴关系（OMOP）作为我们的通用数据模型，以提供案例研究示例。
结果：NIHRHIC听力健康主题开发了一种数据架构，该架构位于所有各种孤立的电子患者记录系统的数据流之外，以允许将数据从电子患者记录系统有效链接到研究系统。以PTAs为例，听力健康数据的OMOPification成功地整理了多个中心的丰富数据点。
结论：本研究确定了常规收集听力健康数据可能有用的优先研究领域。它演示了将这些数据集成和标准化到来自多个中心的通用数据模型中。通过描述跨HIC的数据共享过程，我们希望邀请更多的中心提供和利用数据来解决听力健康方面的研究问题。这项国家倡议有能力使用常规收集的临床数据来改变英国的听力研究和听力护理。
方法：在确定了听力健康的关键研究目标之后，描述了NIHR听力健康HIC的治理结构。选择观察性医学结果伙伴关系（OMOP）作为我们的通用数据模型，以提供案例研究示例。
结果：NIHRHIC听力健康主题开发了一种数据架构，该架构位于所有各种孤立的电子患者记录系统的数据流之外，以允许将数据从电子患者记录系统有效链接到研究系统。以PTAs为例，听力健康数据的OMOPification成功地整理了多个中心的丰富数据点。
结论：本研究确定了常规收集听力健康数据可能有用的优先研究领域。它演示了将这些数据集成和标准化到来自多个中心的通用数据模型中。通过描述跨HIC的数据共享过程，我们希望邀请更多的中心提供和利用数据来解决听力健康方面的研究问题。这项国家倡议有能力使用常规收集的临床数据来改变英国的听力研究和听力护理。
