Literature DB >> 26806135

Laboratory automation in clinical bacteriology: what system to choose?

A Croxatto1, G Prod'hom1, F Faverjon2, Y Rochais3, G Greub4.   

Abstract

Automation was introduced many years ago in several diagnostic disciplines such as chemistry, haematology and molecular biology. The first laboratory automation system for clinical bacteriology was released in 2006, and it rapidly proved its value by increasing productivity, allowing a continuous increase in sample volumes despite limited budgets and personnel shortages. Today, two major manufacturers, BD Kiestra and Copan, are commercializing partial or complete laboratory automation systems for bacteriology. The laboratory automation systems are rapidly evolving to provide improved hardware and software solutions to optimize laboratory efficiency. However, the complex parameters of the laboratory and automation systems must be considered to determine the best system for each given laboratory. We address several topics on laboratory automation that may help clinical bacteriologists to understand the particularities and operative modalities of the different systems. We present (a) a comparison of the engineering and technical features of the various elements composing the two different automated systems currently available, (b) the system workflows of partial and complete laboratory automation, which define the basis for laboratory reorganization required to optimize system efficiency, (c) the concept of digital imaging and telebacteriology, (d) the connectivity of laboratory automation to the laboratory information system, (e) the general advantages and disadvantages as well as the expected impacts provided by laboratory automation and (f) the laboratory data required to conduct a workflow assessment to determine the best configuration of an automated system for the laboratory activities and specificities.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Automation; bacteriology; diagnostic; digital imaging; inoculation; smart incubators; specimen processor; telebacteriology

Mesh:

Year:  2016        PMID: 26806135     DOI: 10.1016/j.cmi.2015.09.030

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  30 in total

Review 1.  Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for the Rapid Detection of Antimicrobial Resistance Mechanisms and Beyond.

Authors:  Marina Oviaño; Germán Bou
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

2.  Enhanced Recovery of Fastidious Organisms from Urine Culture in the Setting of Total Laboratory Automation.

Authors:  William Lainhart; C A Burnham
Journal:  J Clin Microbiol       Date:  2018-07-26       Impact factor: 5.948

3.  Impact of total laboratory automation on workflow and specimen processing time for culture of urine specimens.

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

4.  Automatic Digital Plate Reading for Surveillance Cultures.

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

5.  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

6.  Machine Learning Takes Laboratory Automation to the Next Level.

Authors:  Bradley A Ford; Erin McElvania
Journal:  J Clin Microbiol       Date:  2020-03-25       Impact factor: 5.948

Review 7.  Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.

Authors:  Zisis Kozlakidis; Alex van Belkum; Olivier Vandenberg; Géraldine Durand; Marie Hallin; Andreas Diefenbach; Vanya Gant; Patrick Murray
Journal:  Clin Microbiol Rev       Date:  2020-02-26       Impact factor: 26.132

8.  Comparison of an automated DNA extraction and 16S rDNA real time PCR/sequencing diagnostic method using optimized reagents with culture during a 15-month study using specimens from sterile body sites.

Authors:  Konrad Egli; Martin Risch; Lorenz Risch; Thomas Bodmer
Journal:  BMC Microbiol       Date:  2022-05-02       Impact factor: 4.465

Review 9.  COVID-19-another influential event impacts on laboratory medicine management.

Authors:  YunTao Luo; JingHua Wang; MinMin Zhang; QingZhong Wang; Rong Chen; XueLiang Wang; HuaLiang Wang
Journal:  J Clin Lab Anal       Date:  2021-05-25       Impact factor: 2.352

10.  Evaluation of an Automated System for Reading and Interpreting Disk Diffusion Antimicrobial Susceptibility Testing of Fastidious Bacteria.

Authors:  Evgeny A Idelevich; Karsten Becker; Janne Schmitz; Dennis Knaack; Georg Peters; Robin Köck
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

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