PubMed Health⌕ Search

PubMed · 10747661

A task-targeted automation system: a case study.

Abstract

Kaiser Permanente's Northern California Regional Laboratory recently achieved an important milestone in its continuous quality improvement project by automating time-consuming and labor-intensive tasks involved in preanalytical and postanalytical sample processing. The new task-targeted automation system, the most sophisticated of its kind in the world, consists of three key components: the Roche Diagnostics PSD 1 primary sample decapper/sorter/archiver, the Roche Diagnostics VS 250 aliquoter, and a data manager/process controller developed by Data Innovations. The system was placed into service in April 1998, culminating more than a year of planning and implementation. Within months after the system went into operation, the laboratory observed significant improvements in workflow and efficiency, as well as a reduction in work-related injuries. The purpose of this article is to provide management teams in other laboratories with a description of the planning and implementation process and offer suggestions for those contemplating a similar program.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G F Pawlick, C Smith. A task-targeted automation system: a case study.. https://pubmed.ncbi.nlm.nih.gov/10747661/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Facile method for automated genotyping of single nucleotide polymorphisms by mass spectrometry.

In the future, analysis of single nucleotide polymorphisms (SNPs) should become a powerful tool for many genetic applications in areas such as association studies, pharmacogenetics and traceability in the agro-alimentary sector. A number of technologies have been developed for high-throughput genotyping of SNPs. Here we present the simplified GOOD assay for SNP genotyping by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI). The simplified GOOD assay is a single-tube, purification-free, three-step procedure consisting of PCR, primer extension and phosphodiesterase II digestion followed by mass spectrometric analysis. Due to the application of charge-tag technology, no sample purification is required prior to the otherwise very impurity-sensitive MALDI analysis. The use of methylphosphonate containing primers and ddNTPs or alpha-S-ddNTPs together with a novel DNA polymerase derived from Thermotoga maritima for primer extension allow the fluent preparation of negatively charge-tagged, allele-specific products. A key feature of this polymerase is its preference for ddNTPs and alpha-S-ddNTPs over dNTPs. The simplified GOOD assay was run with automatic liquid handling at the lowest manageable volumes, automatic data acquisition and interpretation. We applied this novel procedure to genotyping SNPs of candidate genes for hypertension and cardiovascular disease.

Automation↗

Uridine uptake inhibition assay: an automated micromethod for the screening of cytotoxicity.

The uridine uptake inhibition assay is a sensitive microassay for measuring cytotoxicity. This assay is normally performed with Hela S3 cells, which lack metabolic activity. In an earlier study, we adapted the test to HepG2 cells, a human hepatoma cell line that retains many hepatocyte characteristics, such as functional metabolic enzymes. This study describes a new automated protocol for the assay that makes it much more rapid. In the previous protocol, after the cells were treated with the test compounds and allowed to take up uridine for 30 min, samples were taken manually one by one and spotted onto 3MM Whatman paper. After drying, the paper sheet was then chromatographed in 5% (P/V) TCA for 2 h in order to precipitate and measure the total amount of RNA. In the new method, instead of paper chromatography, samples are transferred onto a 96-well microplate equipped with GF/C glass filters. Then, RNA precipitation by TCA is carried out with a manifold system, and the amount of radiolabeled uridine taken up by the cells is counted directly with a radioactivity microplate reader. This method makes it possible to screen many compounds simultaneously for cytotoxicity. To evaluate its sensitivity, we compared the IC(50) values obtained with new and original protocol for each eight toxic compounds. We found an excellent correlation between the two methods (r(2)=0.99). With the automated protocol, the uridine uptake inhibition assay is both sensitive and rapid enough for high-throughput daily screening.

Automation↗

Nozzle design parameters and their effects on rapid sample delivery in flow cytometry.

BACKGROUND: Rapid kinetic and high throughput flow cytometry are emerging as valuable tools in biotechnology research applications ranging from mechanistic analysis of molecular assemblies to high throughput screening. Many of these new applications have been made possible by improved sample delivery capabilities, focusing increased attention on fluidic issues associated with rapid sample delivery. METHODS: Using basic fluidic premises, we derived a model that predicted the effect of nozzle parameters during rapid sample delivery. We tested the model using the rapid mix flow cytometer and modifications were made to the equipment to optimize performance. RESULTS: The model predicted that shorter nozzles with wide exit orifices decrease the delay before initial particle analysis and the fluidic stabilization time. Experimental results confirmed this prediction and model-based modifications allowed analysis of particles within 55 ms or 600 ms after mixing, with or without electronic gating, respectively. CONCLUSIONS: The model along with modifications to commercial equipment will allow rapid mix flow cytometry to analyze reactions in time frames threefold shorter than previously possible. The model allows for nozzle design predictions that should allow for analysis in the millisecond time frame. Furthermore, these findings are general for all rapid delivery applications, including high throughput flow cytometry.

Automation↗