兽药检验实验室信息管理系统(LIMS)的构建与实施

随着兽药检验实验室的不断升级改造,越来越多的实验室建立和实施了实验室信息管理系统(LIMS)。本文通过本单位实验室信息管理系统的构建与实施,实现了业务受理、检验任务的指派、检验记录编写、标准管理、内部审核等多个功能,有效地提升了兽药检验机构实验室的信息化水平,为今后各兽药检验机构实验室提供借鉴经验。     

浅谈实验室信息管理系统在兽医实验室的开发及应用

兽医实验室是我国动物疫病防控体系的重要组成部分,是动物疫病诊断、监测、检测任务的具体承担单位.为加强实验室管理,提高实验室技术水平和工作能力,实现实验室建设标准化、管理规范化、队伍专业化、业务科学化,本中心建立了一套符合本实验室的兽医实验室信息管理系统,实现了对本实验室全面有效的信息化管理.     

兽医实验室信息管理系统运用体会

实验室信息管理系统(Laboratory Information Manage ment System,LIMS)是由计算机硬件和软件组成、以实验室为基础、实现现代实验室综合管理的一种技术和方法。它能完成实验室数据和信息的采集、收集、分析和报告,可以涵盖人员管理、样品管理、事务管理、资源管理、数据管理、报表管理等诸多模块[1],是分析检测技术、仪器设备管理技术、网络通信技术和实验室管理技术等的集成[2]。目前,LIMS已经运用在检验、检疫、医疗、化工、制药等行业的分析测试实验室[3]。广西壮族自治区动物疫病预防控制中心兽医实验室于2014年正式启动LIMS的建设,2015年11月23日正式运用LIMS进行实验室的管理,笔者现将谈谈3年来LIMS建设和使用的心得。     

小型实验室信息管理系统中核心模块的优化

实验室信息管理系统是以大型、中型实验室为服务对象开发应用的,而后再推广应用至小型实验室,这给小型实验室在应用实验室信息管理系统时,带来了系统模块多、结构复杂、操作难度大等问题。本文通过对实验室信息管理系统的工作流程及对应模块进行分析,提出了核心模块的配置方案,以达到适用小型实验室的目的,从而提高实验室检测运转效率。     

兽医实验室信息管理系统在兽医实验室中的应用

<正>兽医实验室是我国动物疫病防控体系的重要组成部分,为加强实验室管理,提高实验室技术水平和工作能力,建立一套符合本实验室的兽医实验室信息管理系统,是实现对本实验室全面有效的信息化管理,一步实现实验室建设标准化、管理规范化、队伍专业化、业务科学化的捷径。实验室信息管理系统(Laboratory Information Management System英文缩写LIMS)LIMS是将现代信息技术、现代分析技     

农产品检测实验室信息化系统的设想与初探

随着农产品安全问题越来越受到人们的关注,农产品检测任务大大增加,检测要求也越来越高。为了适应急剧增加的检测任务、出具准确的检测报告、改善农产品实验室的管理体系,运用实验室信息管理系统来规范农产品检测实验室管理将成为实验室发展的趋势。本文就适用于农产品安全检测的实验室信息化管理系统设计原则和思路进行了初探。     

动物疫控体系引进实验室信息管理系统的研究及应用体会

正实验室信息管理系统(Laboratory Information Management System,英文缩写LIMS)是现代实验室综合管理的一种技术、方法或产品,是分析检测技术、仪器设备技术、网络通信技术、计算机技术、信息技术和实验室管理技术的集成~([1])。实验室的业务流程和一切资源通过LIMS网络平台进行管理,可以达到规范化、自动化运行实验室,信息化管理对提高实验室工作效率、降低运行成本、快速准确地提供信息至关重     

LIMS在茶叶检验实验室的应用

实验室信息管理系统（Laboratory Information Management System,简称LIMS）是由计算机硬件和应用软件组成,将实验室的分析仪器通过计算机网络连接起来，采用科学的管理思想和先进的数据库技术，实现以实验室为核心的整体环境的全方位管理。     

计算机网络技术在实验室管理中的应用

实验室管理工作中应用计算机网络技术手段可全面提升工作水平,高效、保质保量的完成各项工作。本文就如何利用计算机网络技术创建完善的实验室信息管理系统展开研究,对确保实验室检测数据的精准真实,开创信息化、现代化的实验室管理环境,达到事半功倍的工作效果,有重要的实践意义。     

实验室信息管理系统——电子类职业技能培养性实验室信息管理系统设计

目前国内外的实验室信息管理系统产品比较偏重于化工类、科研性质比较重的实验室管理，而电子类、职业技能培养性质的实验室管理产品极少，笔者以重庆电子工程职业学院为模本设计了一套类似实验室均可使用的实验室信息管理系统。文中主要介绍了笔者的设计理念与相关思路。     

高等农业类院校实验室安全管理途径探索

新时代背景下,高校实验室承担了更多的责任和义务。安全高效的管理可以更好地服务于教学和科研,激发学生或科研团队的创新潜能,实现我国高等教育的人才培养目标。该论文深刻剖析了高校实验室安全管理中存在的管理制度程式化、安全教育力度不足、安全意识薄弱、管理方式陈旧,以及缺乏专业化管理人员和信息化管理体系建设的问题。针对性的提出了构建安全教育体系,提升高校实验室管理人员业务水平,加强高校实验室安全应急预案的监督管理的解决方案,对高等农业类院校实验室的安全管理途径进行了初步的探索。     

Disease diagnostic coding to facilitate evidence-based medicine: current and future perspectives

Technologic advances in information management have rapidly changed laboratory testing and the practice of veterinary medicine. Timely and strategic sampling, same-day assays, and 24-h access to laboratory results allow for rapid implementation of intervention and treatment protocols. Although agent detection and monitoring systems have progressed, and wider tracking of diseases across veterinary diagnostic laboratories exists, such as by the National Animal Health Laboratory Network (NAHLN), the distinction between detection of agent and manifestation of disease is critical to improved disease management. The implementation of a consistent, intuitive, and useful disease diagnosis coding system, specific for veterinary medicine and applicable to multiple animal species within and between veterinary diagnostic laboratories, is the first phase of disease data aggregation. Feedback loops for continuous improvement that could aggregate existing clinical and laboratory databases to improve the value and applications of diagnostic processes and clinical interventions, with interactive capabilities between clinicians and diagnosticians, and that differentiate disease causation from mere agent detection, remain incomplete. Creating an interface that allows aggregation of existing data from clinicians, including final diagnosis, interventions, or treatments applied, and measures of outcomes, is the second phase. Prototypes for stakeholder cooperation, collaboration, and beta testing of this vision are in development and becoming a reality. We focus here on how such a system is being developed and utilized at the Iowa State University Veterinary Diagnostic Laboratory to facilitate evidence-based medicine and utilize diagnostic coding for continuous improvement of animal health and welfare.     

Data standardization implementation and applications within and among diagnostic laboratories: integrating and monitoring enteric coronaviruses

Every day, thousands of samples from diverse populations of animals are submitted to veterinary diagnostic laboratories (VDLs) for testing. Each VDL has its own laboratory information management system (LIMS), with processes and procedures to capture submission information, perform laboratory tests, define the boundaries of test results (i.e., positive or negative), and report results, in addition to internal business and accounting applications. Enormous quantities of data are accumulated and stored within VDL LIMSs. There is a need for platforms that allow VDLs to exchange and share portions of laboratory data using standardized, reliable, and sustainable information technology processes. Here we report concepts and applications for standardization and aggregation of data from swine submissions to multiple VDLs to detect and monitor porcine enteric coronaviruses by RT-PCR. Oral fluids, feces, and fecal swabs were the specimens submitted most frequently for enteric coronavirus testing. Statistical algorithms were used successfully to scan and monitor the overall and state-specific percentage of positive submissions. Major findings revealed a consistently recurrent seasonal pattern, with the highest percentage of positive submissions detected during December–February for porcine epidemic diarrhea virus, porcine deltacoronavirus, and transmissible gastroenteritis virus (TGEV). After 2014, very few submissions tested positive for TGEV. Monitoring VDL data proactively has the potential to signal and alert stakeholders early of significant changes from expected detection. We demonstrate the importance of, and applications for, data organized and aggregated by using LOINC and SNOMED CTs, as well as the use of customized messaging to allow inter-VDL exchange of information.     

青藏高原东南部天然草地主要有毒有害植物数据库及其信息管理系统的研发

对青藏高原东南部天然草地有毒有害植物进行了野外调查、资料收集及室内研究的基础上,建立了青藏高原东南部天然草地有毒有害植物数据库。本数据库信息系统采用Visual Basic 6.0中文版设计,整个信息系统分为系统管理模块和数据查询模块两部分。系统管理模块下设数据管理模块,可对数据进行录入、修改和删除操作;数据查询模块提供一个可视化、人性化界面,设置查询窗体、显示数据窗体和详细信息窗体,并具有浏览功能。在今后对青藏高原有毒有害植物的研究中,该数据库可方便、有效地管理有毒有害植物的知识和资料并实现数据的搜集、查询、保存和处理。本文首次对青藏高原东南部天然草地有毒有害植物数据库的研制成果进行了报道。     

ASVCP quality assurance guidelines: external quality assessment and comparative testing for reference and in‐clinic laboratories

The purpose of this document is to educate providers of veterinary laboratory diagnostic testing in any setting about comparative testing. These guidelines will define, explain, and illustrate the importance of a multi‐faceted laboratory quality management program which includes comparative testing. The guidelines will provide suggestions for implementation of such testing, including which samples should be tested, frequency of testing, and recommendations for result interpretation. Examples and a list of vendors and manufacturers supplying control materials and services to veterinary laboratories are also included.     

量化管理在兽药实验室信息管理系统中的应用

开发了一套适用于兽药与饲料实验室管理的操作简便、实用及扩展性强的量化管理功能组件,应用于广东省兽药与饲料监察总所绩效管理。该组件采用J2EE分布式组件技术,结合量化管理方法,很好地整合到原有的B/S（浏览器/服务器）模式的兽药与饲料实验室管理系统中。应用实践表明,该系统实现了对实验室人员工作状况的全过程管理,促进了检验工作的规范化、流程化,提高了工作效率,保证了人员绩效考核的公开、公平、公正。     

Laboratory experience during the classical swine fever virus epizootic in the Netherlands in 1997-1998

From February 1997 till May 1998 the national reference laboratory for classical swine fever (CSF) in the Netherlands was confronted with millions of samples taken from pigs during an outbreak of CSF in a pig dense region. In a limited period major logistic problems needed to be solved regarding the processing of samples and information at the laboratory facilities.In total over 2.3 million samples were examined by different CSF diagnostic methods. The majority (approximately 2.1 million) of these samples were blood samples which were tested for CSF serum antibody in a semi-automated ELISA. Approximately 166,000 samples were examined for the presence of CSF virus or viral antigen. Automated preparation and testing of blood samples for CSF serum antibody, the obligatory identification and registration system of pig holdings and the computerised laboratory management system made it possible to process the huge amount of samples and information presented in a limited period. The majority of the test results was sent to the veterinary authorities via e-mail or a computerised fax system.Of the 429 outbreaks 82% were detected via a direct immunofluorescence technique performed on cryostat sections of the tonsil. The sampling of clinically suspected pigs ('guided' sampling) for this diagnostic method provided rapid positive and negative results and thus played a paramount role during the eradication campaign. Serological surveys identified 13.5% of the infected pig holdings: such surveys proved very effective in the screening of holdings which were subjected to restrictions (protection or surveillance zones) for many months. Virus isolation performed on different types of samples detected 4. 5% of the infected pig holdings.In conclusion, analysis of data collected in the laboratory and epidemiological analysis should result in an improved eradication plan for the future control of outbreaks of CSF in the Netherlands supported by optimised CSF diagnostic methods.     

非洲猪瘟检测中的常见问题与分析

实验室检测是非洲猪瘟防控中的重要一环，但实验室检测不是仪器与试剂盒的简单叠加，是“人、机、料、法、环”多方面结合后的有效输出。在实验室广泛普及的同时，实验室的管理、质控、结果分析、报告解读及临床指导是重中之重。结果的正确解读及与临床信息的对接是其价值所在，临床及实验室的有效结合是综合诊断的基础。     

中药检测实验室风险管理与应对措施

风险管理是中药检测实验室管理的重要组成部分，贯穿于实验室的全部活动过程之中。本文阐述了全员参与、持续改进、服务质量目标、融入中药检测实验室活动管理、以信息工作为基础等风险管理原则，论述了确定环境信息、风险评估、风险应对、监督检查、沟通与记录、风险评估报告等风险管理活动环节，提出从不断完善体系文件、选择和应用适宜的风险评估技术、强化检验质量控制工作等方面来开展中药检测实验室的风险管理活动。