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Unlocking the potential of health systems using privacy preserving record linkage: A pilot project exploring the research potential of developing a linkable general practice dataset

机译:利用隐私保存记录联系解锁卫生系统的潜力:试点项目探索开发可接受通用实践数据集的研究潜力

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摘要

BackgroundGeneral practice is a rich source of health data for research. It is an important resource which can be used to improve patient management, reduce costs and improve patient outcomes. Traditionally, the challenge has been around access to general practice data which remains hard to ‘join up’.This abstract describes technology developed to support aspirations of the MedicineInsight program to provide linked de-identified general practice data that can be used to derive insights to enable better patient outcomes.Main AimThe aim of this project was to use real-world data to identify technical, logistical and analytical requirements throughout the linkage process. Logistical aims covered the negotiation, approval and data acquisition processes, as well as data linkage and data delivery aspects performed by technical and data service stakeholders.Methods/Approach Given the sensitivity of the information involved, the project employed a privacy preserving record linkage methodology. This method uses encrypted personal identifying information (Bloom filters) in a probability-based linkage framework to help mitigate risk while maximising linkage quality.Existing MedicineInsight systems were extended to automatically generate encoded linkage data at each general practice. Pilot linkages were then used to validate the capability/capacity of CDL infrastructure to create secure extensible linked general practice datasets.ResultsThe project has successfully developed interoperable technology to create a transparent data catalogue which is linkable to other datasets. This technology has been embedded with MedicineInsight systems and results of the pilot linkages are being evaluated. The project will make recommendations to enable consistent delivery of linkage services across care settings.ConclusionOutcomes from the project will improve delivery of record linkage services to the health and broader research community. Using linked data from across the care continuum, researchers will be able to evaluate the effectiveness of service delivery and provide evidence for policy and programme development.
机译:背景日常实践是研究的丰富健康资料来源。这是一个重要的资源,可用于改善患者管理,降低成本并改善患者结果。传统上,挑战已经访问了一般练习数据,这仍然难以“加入”。该摘要描述了支持MubjingSight计划的愿望,提供有链接的去识别的一般实践数据来提供能够用于导出能够实现更好的患者结果的技术。主要瞄准该项目的目的是使用真实世界的数据来确定整个联系过程中的技术,后勤和分析要求。后勤目标涵盖了技术和数据服务利益相关者执行的谈判,批准和数据采集过程,以及数据联系和数据传递方面。方法/方法鉴于所涉及的信息的敏感性,该项目采用了隐私保留了记录连锁方法。该方法在基于概率的链接框架中使用加密的个人识别信息(Bloom筛选器),以帮助减轻风险,同时最大化链接质量。延长现有的Minessight系统以在每个一般练习中自动生成编码的链接数据。然后使用导频链接来验证CDL基础架构的能力/容量,以创建安全可扩展链接的一般实践数据集。结果项目已成功开发可互操作的技术以创建透明数据目录,可连接到其他数据集。该技术已经嵌入了Minessight系统,并正在评估飞行员联系的结果。该项目将提出建议,以便在护理环境中保持一致的联动服务。该项目的结论将从卫生和更广泛的研究界提高记录联系服务的交付。研究人员将能够评估服务交付的有效性并提供政策和计划开发的证据。

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