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Assessment of scalability and performance of the record linkage tool E-PIX® in managing multi-million patients in research projects at a large university hospital in Germany.
Journal of Translational Medicine ( IF 7.4 ) Pub Date : 2020-02-17 , DOI: 10.1186/s12967-020-02257-4
Christopher Hampf 1 , Lars Geidel 2 , Norman Zerbe 3 , Martin Bialke 1 , Dana Stahl 2 , Arne Blumentritt 2 , Thomas Bahls 1 , Peter Hufnagl 3 , Wolfgang Hoffmann 1
Affiliation  

The identity management is a central component in medical research. Patients are recruited from various sites, which requires an error tolerant record linkage method, to ensure that patients are registered only once. In large research projects or institutions, the identity management has to deal with several thousands or millions of patients. In environments with large numbers of patients the register process could lead to high runtimes caused by record linkage. The Central Biomaterial Bank of the Charité (ZeBanC) searched for an identity management solution, which can handle millions of patients in large research projects with an acceptable performance. The goal of this paper was to simulate the registration of several million patients using the E-PIX service at Charité – Universitätsmedizin Berlin. The E-PIX service was evaluated in terms of needed runtimes, memory requirements, and processor utilization. A total of at least 20 million patients had to be registered. The runtimes to register patients into databases with various sizes should be examined, and the maximum number of patients, which the E-PIX service could handle, should be determined. Tools were set up or developed to measure the needed runtimes, the memory used and the processor usage to register patients into various sizes of databases. To generate runtimes close to reality, modified patient data based on transposed real patient data were used for the simulation. The transposed patient data were sent to E-PIX to measure the runtimes of the registration process. This measurement was repeated for various database sizes. E-PIX is suitable to manage multi-million patients within a dataset. With the given hardware, it was possible to register a total of more than 30 million patients. It was possible to register more than 16 thousand patients per day into this database. The E-PIX tool fulfills the requirements of the Charité to be used for large research projects. The use of E-PIX is intended for the research context in the Charité.

中文翻译:

评估记录链接工具E-PIX®在德国一家大型大学医院的研究项目中管理数百万患者的可扩展性和性能。

身份管理是医学研究的重要组成部分。从各个站点招募患者,这需要采用容错记录链接方法,以确保仅对患者进行一次注册。在大型研究项目或机构中,身份管理必须处理成千上万的患者。在患者人数众多的环境中,注册过程可能会由于记录链接而导致较高的运行时间。Charité的中央生物材料银行(ZeBanC)寻找一种身份管理解决方案,该解决方案可以在性能可接受的大型研究项目中处理数百万患者。本文的目的是使用Charité–柏林大学医学院的E-PIX服务模拟数百万人的注册。根据所需的运行时,内存要求和处理器利用率对E-PIX服务进行了评估。总共必须登记至少2000万患者。应检查将患者注册到各种规模的数据库中的运行时,并应确定E-PIX服务可以处理的最大患者数。设置或开发了工具来测量所需的运行时间,使用的内存和处理器使用率,以将患者注册到各种大小的数据库中。为了生成接近现实的运行时间,将基于转置的实际患者数据的修改后的患者数据用于仿真。转置后的患者数据被发送到E-PIX,以测量注册过程的运行时间。针对各种数据库大小重复此测量。E-PIX适合管理数据集中的数百万患者。使用给定的硬件,总共可以注册超过3000万患者。每天可以在该数据库中注册超过1.6万名患者。E-PIX工具可满足用于大型研究项目的Charité的要求。E-PIX的使用旨在用于Charité中的研究环境。
更新日期:2020-02-18
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