Required steps for the validation of a Laboratory Information Management System.

E Turner, J Bolton
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引用次数: 13

Abstract

The task of managing laboratory data is not a new one. Over the past two decades, the use of Laboratory Information Management Systems (LIMS) has revolutionized how laboratories manage their data. A LIMS is more than software; it has become the workhorse of the laboratory, encompassing laboratory work-flow combined with user input, data collection, instrument integration, data analysis, user notification, and delivery of information and reporting. Types of organizations that utilize LIMS vary greatly from research laboratories to manufacturing laboratories to environmental testing laboratories. Commercially-available LIMS have been around since the 1980s. In addition, many laboratories have designed, implemented, and maintained in-house LIMS. The heart of any LIMS is the software. Like other laboratory systems, the LIMS software is subject to quality control and quality assurance checks. In regulatory environments this associated QA/QC is referred to as "system validation." The primary purpose of system validation is to ensure that the software is performing in a manner for which it was designed. For example, the system acceptance criteria should be established and tested against quantifiable tasks to determine if the desired outcome has been achieved. LIMS features, such as autoreporting, reproducibility, throughput, and accuracy must be quantifiable and verifiable. System validation ensures that the entire system has been properly tested, incorporates required controls, and maintains and will continue to maintain data integrity. Laboratories must establish protocols and standards for the validation process and associated documentation. Although vendors of commercial LIMS perform initial internal system validations, the system must be revalidated whenever the end user, vendor or third party adds modifications or customizations to the LIMS. Currently, detailed guidance regarding system validation of LIMS is not available to the user. The issue is addressed in Good Automated Laboratory Practices (GALP) and National Environmental Laboratory Accreditation Conference (NELAC) documents which indicate specific requirements or recommendations for operational checks and periodic testing; however, it is up to the laboratory to determine suitable methods to accomplish these tasks. Proper validation of a LIMS will allow a laboratory to comply with regulations and also provide comprehensive documentation on the system that is necessary to troubleshoot future problems.

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验证实验室信息管理系统所需的步骤。
管理实验室数据并不是一个新任务。在过去的二十年中,实验室信息管理系统(LIMS)的使用彻底改变了实验室管理数据的方式。LIMS不仅仅是一个软件;它已成为实验室的主力,包括实验室工作流程与用户输入、数据收集、仪器集成、数据分析、用户通知以及信息和报告的交付。从研究实验室到制造实验室到环境测试实验室,使用LIMS的组织类型各不相同。商用LIMS自20世纪80年代以来一直存在。此外,许多实验室已经设计、实施和维护了内部LIMS。任何LIMS的核心都是软件。与其他实验室系统一样,LIMS软件也要接受质量控制和质量保证检查。在监管环境中,相关的QA/QC被称为“系统验证”。系统验证的主要目的是确保软件按照设计的方式运行。例如,应该建立系统验收标准,并针对可量化的任务进行测试,以确定是否达到了期望的结果。LIMS功能,如自动报告、再现性、吞吐量和准确性必须是可量化和可验证的。系统验证确保整个系统已经过适当的测试,包含所需的控制,并维护并将继续维护数据完整性。实验室必须为验证过程和相关文件建立协议和标准。尽管商业LIMS的供应商执行初始的内部系统验证,但无论何时终端用户、供应商或第三方向LIMS添加修改或自定义,都必须重新验证系统。目前,关于LIMS系统验证的详细指导还没有提供给用户。该问题在良好自动化实验室规范(GALP)和国家环境实验室认可会议(NELAC)文件中得到解决,这些文件指明了操作检查和定期测试的具体要求或建议;然而,这取决于实验室确定合适的方法来完成这些任务。LIMS的正确验证将允许实验室遵守法规,并提供有关系统的全面文件,这是排除未来问题所必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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