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Lab automation and consolidation can be a daunting, risky, major reengineering project. Done right, it can mean decreased labor costs and space requirements, increased test volume, and more efficient use of personnel. See how this health system got the job done using a carefully defined, seven-step plan.
Laboratory Automation Systems has been developed with original specifications from each vender. To construct a system in a multi-vender environment, remodeling of the interface and software had to be done by the user. The standard concerning automated laboratory systems was made by NCCLS in 1997. This standard provides a protocol for communications among Laboratory Automation Systems(LAS), Laboratory Information Systems(LIS), automated instruments (analyzers), and pre- and post-analytical automated devices. This document explains the current details and the overall content of the communication standards for automated laboratory systems developed by the NCCLS Subcommittee on Communications between Automation Systems.
BACKGROUND: Thirty-six years of data and history of laboratory practice at our institution has enabled us to follow the effects of analytical automation, then recently pre-analytical and post-analytical automation on productivity, cost reduction and enhanced quality of service. METHODS: In 1998, we began the operation of a pre- and post-analytical automation system (robotics), together with an advanced laboratory information system to process specimens prior to analysis, deliver them to various automated analytical instruments, specimen outlet racks and finally to refrigerated stockyards. By the end of 3 years of continuous operation, we compared the chemistry part of the system with the prior 33 years and quantitated the financial impact of the various stages of automation. RESULTS: Between 1965 and 2000, the Consumer Price Index increased by a factor of 5.5 in the United States. During the same 36 years, at our institution's Chemistry Department the productivity (indicated as the number of reported test results/employee/year) increased from 10,600 to 104,558 (9.3-fold). When expressed in constant 1965 dollars, the total cost per test decreased from 0.79 dollars to 0.15 dollars. Turnaround time for availability of results on patient units decreased to the extent that Stat specimens requiring a turnaround time of <1 h do not need to be separately prepared or prioritized on the system. CONCLUSIONS: Our experience shows that the introduction of a robotics system for perianalytical automation has brought a large improvement in productivity together with decreased operational cost. It enabled us to significantly increase our workload together with a reduction of personnel. In addition, stats are handled easily and there are benefits such as safer working conditions and improved sample identification, which are difficult to quantify at this stage.
Robotic systems are commonly utilized for the extraction of database samples. However, the application of robotic extraction to forensic casework samples is a more daunting task. Such a system must be versatile enough to accommodate a wide range of samples that may contain greatly varying amounts of DNA, but it must also pose no more risk of contamination than the manual DNA extraction methods. This study demonstrates that the BioMek 2000 Laboratory Automation Workstation, used in combination with the DNA IQ System, is versatile enough to accommodate the wide range of samples typically encountered by a crime laboratory. The use of a silica coated paramagnetic resin, as with the DNA IQ System, facilitates the adaptation of an open well, hands off, robotic system to the extraction of casework samples since no filtration or centrifugation steps are needed. Moreover, the DNA remains tightly coupled to the silica coated paramagnetic resin for the entire process until the elution step. A short pre-extraction incubation step is necessary prior to loading samples onto the robot and it is at this step that most modifications are made to accommodate the different sample types and substrates commonly encountered with forensic evidentiary samples. Sexual assault (mixed stain) samples, cigarette butts, blood stains, buccal swabs, and various tissue samples were successfully extracted with the BioMek 2000 Laboratory Automation Workstation and the DNA IQ System, with no evidence of contamination throughout the extensive validation studies reported here.
In December 1990, the Environmental Protection Agency's (EPA) Office of Information Resources Management (OIRM) issued a draft of the Good Automated Laboratory Practices (GALP). The GALPs developed from a union of existing Federal and EPA regulations and policies, including: the Federal Insecticide, Fungicide and Rodenticide Act (FIFRA) & Toxic Substance Control Act (TSCA), Good Laboratory Practices (GLP), the EPA Information Resources Management Policy (IRMP), and the Computer Security Act of 1987. The GALPs consolidate the regulations and policies to provide a single source of reference, and sever as an extension of the GLP standards (40 CFR 160 & 792). Whereas the GLPs describe acceptable laboratory management practices, the GALPs describe acceptable automated data management practices, and give guidance for standardizing and implementing procedures to ensure the quality and integrity of automated data collection and storage. The GALPs have been formatted to parallel the structure of the GLPs. Just as the GLPs define the responsibilities of the Quality Assurance Unit (QAU) in maintaining good laboratory practices, the GALPs define the responsibilities of the QAU in maintaining good automated data practices. The QAU is charged with (i) maintaining copies of written procedures for the automated data collection system, (ii) performing inspections of laboratory operations utilizing the automated data collection system and reporting findings, (iii) ensuring authorization and documentation of deviations from written procedures, (iv) auditing data and reports from the automated data collection system to ensure they accurately represent the raw data, and (v) maintaining records of the above-defined QAU functions.(ABSTRACT TRUNCATED AT 250 WORDS)
Many advances have been made in laboratory automation dealing with robotics and data management. There have been many different approaches to these technologies and many successful applications. Current methods employed in automated techniques utilize robotic processors and arms to manipulate and analyze samples, and computerized management of the data generated by these workhorses.
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In this paper we describe the isolation of genomic DNA by using anion exchange chromatography performed on a Biomek 1000 Automated Laboratory Workstation. This procedure allows the automated isolation of DNA suitable for most molecular analyses employed in diagnosis of genetic pathologies and infectious diseases. The genomic DNA isolated by using the Biomek 1000 was indeed found to be suitable for polymerase chain reaction and allele-specific hybridization.
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Since there was a scientific need to conduct electrophysiology measurements to detect possible ocular (electroretinography, ERG), central neurotoxic (quantitative electroencephalography, qEEG), and cardiac (electrocardiography, ECG) effects in animals used in certain regulatory studies, the acquisition of suitable automated PC software systems were required. This article describes the process by which these systems were validated to ensure that they met the scientific requirements, while also addressing the principles of Good Automated Laboratory Practices (GALP). After a thorough search of existing commercial packages, a plan was developed specific for each PC-based collection system selected for evaluation. The common elements of each plan included consideration of both scientific and GALP elements, such as necessary biological response variables, raw data acquisition and identification, acceptance criteria, security, protection, storage media, data integrity, audit requirements and standard operating procedures. The authors' approach to validation for each electrophysiology system was to determine scientific needs for accuracy, precision, and detection limit of biological effects concurrent with GALP requirements. The selected software systems were employed in separate scientific GLP studies conducted in dogs, rats, and mini-pigs to demonstrate the ability to detect cholinesterase effects due to multiple infusions of physostigmine, based on parallel measurement of cholinesterase biomarkers. Since the systems were designed for human usage, certain adaptations were necessary. A critical assumption to be tested was the ability of the system's algorithms to adequately capture and assimilate the data in an accurate fashion. Concomitantly, the related GALP needs, such as data integrity, security, CD-ROM archive, and personnel training requirements were evaluated, implemented, and defined to accommodate the application and process needs. The biological approach to validation of these PC-based electrophysiology systems met the necessary scientific acceptance criteria as well as compliance requirements in order to be used in regulatory studies.
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Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.