Literature DB >> 26715609

Integration of Diagnostic Microbiology in a Model of Total Laboratory Automation.

Giorgio Da Rin1, Maira Zoppelletto1, Giuseppe Lippi2.   

Abstract

BACKGROUND: Although automation has become widely utilized in certain areas of diagnostic testing, its adoption in diagnostic microbiology has proceeded much more slowly.
OBJECTIVE: To describe our real-world experience of integrating an automated instrument for diagnostic microbiology (Walk-Away Specimen Processor, WASPLab) within a model of total laboratory automation (TLA).
METHODS: The implementation process was divided into 2 phases. The former period, lasting approximately 6 weeks, entailed the installation of the WASPLab processor to operate as a stand-alone instrumentation, whereas the latter, lasting approximately 2 weeks, involved physical connection of the WASPLab with the automation.
RESULTS: Using the WASPLab instrument in conjunction with the TLA model, we obtained a time savings equivalent to the work of 1.2 full-time laboratory technicians for diagnostic microbiology. The connection of WASPLab to TLA allowed its management by a generalist or clinical chemistry technician, with no need for microbiology skills on the part of either worker. Hence, diagnostic microbiology could be performed by the staff that is already using the TLA, extending their activities to include processing urgent clinical chemistry and hematology specimens. The time to result was also substantially improved.
CONCLUSIONS: According to our experience, using the WASPLab instrument as part of a TLA in diagnostic microbiology holds great promise for optimizing laboratory workflow and improving the quality of testing. © American Society for Clinical Pathology, 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  diagnostic system; efficiency; laboratory automation system; laboratory workflow; microbiology; total laboratory automation

Mesh:

Year:  2015        PMID: 26715609     DOI: 10.1093/labmed/lmv007

Source DB:  PubMed          Journal:  Lab Med        ISSN: 0007-5027


  6 in total

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Authors:  Melanie L Yarbrough; William Lainhart; Allison R McMullen; Neil W Anderson; Carey-Ann D Burnham
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-09-29       Impact factor: 3.267

2.  Automatic Digital Plate Reading for Surveillance Cultures.

Authors:  Thomas J Kirn
Journal:  J Clin Microbiol       Date:  2016-08-10       Impact factor: 5.948

3.  Experimental fusion of different versions of the total laboratory automation system and improvement of laboratory turnaround time.

Authors:  Hee-Jung Chung; Yoon Kyung Song; Sang-Hyun Hwang; Do Hoon Lee; Tetsuro Sugiura
Journal:  J Clin Lab Anal       Date:  2018-02-25       Impact factor: 2.352

4.  Total Laboratory Automation in Clinical Microbiology: a Micro-Comic Strip.

Authors:  Alexander J McAdam
Journal:  J Clin Microbiol       Date:  2018-03-26       Impact factor: 5.948

5.  Significant increase in cultivation of Gardnerella vaginalis, Alloscardovia omnicolens, Actinotignum schaalii, and Actinomyces spp. in urine samples with total laboratory automation.

Authors:  Sabrina Klein; Dennis Nurjadi; Susanne Horner; Klaus Heeg; Stefan Zimmermann; Irene Burckhardt
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-04-13       Impact factor: 3.267

6.  Total Laboratory Automation and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Improve Turnaround Times in the Clinical Microbiology Laboratory: a Retrospective Analysis.

Authors:  Talent Theparee; Sanchita Das; Richard B Thomson
Journal:  J Clin Microbiol       Date:  2017-12-26       Impact factor: 5.948

  6 in total

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