Suppr超能文献

实验室信息管理系统验证的必要步骤。

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

作者信息

Turner E, Bolton J

机构信息

USACE Washington Aqueduct, 5900 MacArthur Blvd. NW, Washington, DC 20016, USA.

出版信息

Qual Assur. 2001 Jul-Dec;9(3-4):217-24. doi: 10.1080/713844028.

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.

摘要

管理实验室数据并非新任务。在过去二十年中,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不仅仅是软件;它已成为实验室的主力工具,涵盖实验室工作流程以及用户输入、数据收集、仪器集成、数据分析、用户通知以及信息传递和报告。使用LIMS的组织类型差异很大,从研究实验室到制造实验室再到环境检测实验室。自20世纪80年代以来就有商业可用的LIMS。此外,许多实验室设计、实施并维护内部LIMS。任何LIMS的核心都是软件。与其他实验室系统一样,LIMS软件要接受质量控制和质量保证检查。在监管环境中,这种相关的质量保证/质量控制被称为“系统验证”。系统验证的主要目的是确保软件按其设计方式运行。例如,应针对可量化任务建立并测试系统验收标准,以确定是否实现了预期结果。LIMS的功能,如自动报告、可重复性、通量和准确性,必须是可量化和可验证的。系统验证确保整个系统已得到适当测试,纳入了所需控制措施,并维护且将继续维护数据完整性。实验室必须为验证过程和相关文档建立规程和标准。尽管商业LIMS供应商会进行初始内部系统验证,但每当最终用户、供应商或第三方对LIMS进行修改或定制时,系统都必须重新验证。目前,用户无法获得关于LIMS系统验证的详细指南。《良好自动化实验室规范》(GALP)和《国家环境实验室认可会议》(NELAC)文件中涉及了该问题,这些文件指出了操作检查和定期测试的具体要求或建议;然而,由实验室来确定完成这些任务的合适方法。对LIMS进行适当验证将使实验室能够符合法规要求,并提供有关该系统的全面文档,这对于解决未来问题是必要的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验