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首页> 外文期刊>BMC Medical Informatics and Decision Making >The SAIL databank: linking multiple health and social care datasets
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The SAIL databank: linking multiple health and social care datasets

机译：Sail Databank：链接多个健康和社会护理数据集

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Background Vast amounts of data are collected about patients and service users in the course of health and social care service delivery. Electronic data systems for patient records have the potential to revolutionise service delivery and research. But in order to achieve this, it is essential that the ability to link the data at the individual record level be retained whilst adhering to the principles of information governance. The SAIL (Secure Anonymised Information Linkage) databank has been established using disparate datasets, and over 500 million records from multiple health and social care service providers have been loaded to date, with further growth in progress. Methods Having established the infrastructure of the databank, the aim of this work was to develop and implement an accurate matching process to enable the assignment of a unique Anonymous Linking Field (ALF) to person-based records to make the databank ready for record-linkage research studies. An SQL-based matching algorithm (MACRAL, Matching Algorithm for Consistent Results in Anonymised Linkage) was developed for this purpose. Firstly the suitability of using a valid NHS number as the basis of a unique identifier was assessed using MACRAL. Secondly, MACRAL was applied in turn to match primary care, secondary care and social services datasets to the NHS Administrative Register (NHSAR), to assess the efficacy of this process, and the optimum matching technique. Results The validation of using the NHS number yielded specificity values > 99.8% and sensitivity values > 94.6% using probabilistic record linkage (PRL) at the 50% threshold, and error rates were Conclusion With the infrastructure that has been put in place, the reliable matching process that has been developed enables an ALF to be consistently allocated to records in the databank. The SAIL databank represents a research-ready platform for record-linkage studies.
机译：在健康和社会护理服务交付过程中，有关患者和服务用户收集了大量数据。患者记录的电子数据系统有可能彻底改变服务交付和研究。但为了实现这一目标，在遵守信息治理原则的同时保留将数据链接到个人记录水平的能力。已经使用不同数据集建立了Sail（安全匿名信息链接）数据库，并且来自多个健康和社会护理服务提供商的超过5000万条记录已加载到目前为止，进一步增长。已经建立了数据库的基础设施的方法，这项工作的目的是开发和实施准确的匹配过程，使得将唯一匿名链接字段（ALF）分配给基于人的记录，以使数据库准备录制链接研究研究。为此目的开发了一种基于SQL的匹配算法（MACRAL，用于匿名链接中一致的匹配算法）。首先，使用映射评估作为唯一标识符的基础的使用有效NHS号码的适用性。其次，媒体依次适用于匹配初级保健，二级护理和社会服务数据集，以评估该过程的功效，以及最佳的匹配技术。结果使用50％阈值的概率记录连杆（PRL）使用NHS数量的验证特异性值> 99.8％，灵敏度值> 94.6％，并结束了已经到位的基础设施，可靠的基础设施已开发的匹配过程使ALF能够始终分配给数据库中的记录。 Sail Databank代表了用于记录联系研究的研究准备平台。

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