In order to successfully share patient data across multiple systems, a reliable method of linking patient records across disparate organizations is required. In Canada, within the province of Ontario, there are four centralized diagnostic imaging repositories (DIRs) that allow multiple hospitals and independent health facilities (IHF) to send diagnostic images and reports for the purpose of sharing patient data across the region (Nagels et al. J Digit Imaging 28: 188, 2015). In 2017, the opportunity to consolidate the two regional DIRs that share the south-central and southeast area of the province was reviewed. The two DIRs use two different methods for patient matching. One uses a deterministic match based on one specific value, while the other uses a probabilistic scorecard that weighs a variety of patient demographics to assess if the patients are a match. An analysis was conducted to measure how a patient identity domain that uses a deterministic approach would compare to the accepted "standard." The intention is to review the analysis as a means of identifying interesting insights in both approaches. For the purpose of this paper, the two DIRs will be referred to as DIR1 and DIR2.

中文翻译：

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确定性与概率：基于两种实现方式的比较，患者匹配的最佳实践。

为了在多个系统之间成功共享患者数据，需要一种可靠的方法来跨不同组织链接患者记录。在加拿大的安大略省内，有四个集中的诊断成像存储库（DIR），这些存储库允许多个医院和独立医疗机构（IHF）发送诊断图像和报告，以在整个区域共享患者数据（Nagels等人J Digit Imaging 28：188，2015）。2017年，审查了合并该省中南部和东南部地区的两个区域DIR的机会。两个DIR使用两种不同的方法进行患者匹配。一个使用基于一个特定值的确定性匹配，另一个则使用权重记分卡，该记分卡会权衡各种患者人口统计信息，以评估患者是否匹配。进行了一项分析，以衡量使用确定性方法的患者身份域如何与公认的“标准”进行比较。目的是对分析进行回顾，以作为识别两种方法中有趣的见解的一种手段。出于本文的目的，两个DIR分别称为DIR1和DIR2。