Literature DB >> 24648549

The automated clinical microbiology laboratory: fact or fantasy?

Nathan A Ledeboer1, Steven D Dallas2.   

Abstract

Automated chemistry laboratories dependent on robotic processes are the standard in both academic and large community hospital settings. Diagnostic microbiology manufacturers are betting that robotics will be used for specimen processing, plate reading, and organism identification in the near future. These systems are highly complex and have large footprints and hefty price tags. However, they are touted as being more efficient, rapid, and accurate than standard processes. Certain features, such as image collection, are highly innovative. Hospital administrators may be swayed to institute these new systems because of the promise of the need for fewer skilled workers, higher throughput, and greater efficiency. They also may be swayed by the fact that workers with the requisite clinical microbiology skills are becoming more difficult to find, and this technology should allow fewer skilled workers to handle larger numbers of cultures. In this Point-Counterpoint, Nate Ledeboer, Medical Director, Clinical Microbiology and Molecular Diagnostics, Dynacare Laboratories, and Froedtert Hospital, Milwaukee, WI, will explain why he believes that this approach will become widespread, while Steve Dallas of the University of Texas Health Science Center San Antonio explains why he thinks that this automation may not become widely used.
Copyright © 2014, American Society for Microbiology. All Rights Reserved.

Mesh:

Year:  2014        PMID: 24648549      PMCID: PMC4313129          DOI: 10.1128/JCM.00686-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  17 in total

1.  Policy statement on consolidation of clinical microbiology laboratories.

Authors: 
Journal:  Clin Infect Dis       Date:  2001-02-15       Impact factor: 9.079

Review 2.  Antimicrobial stewardship: bridging the gap between quality care and cost.

Authors:  Debra A Goff
Journal:  Curr Opin Infect Dis       Date:  2011-02       Impact factor: 4.915

3.  Decreased mortality associated with prompt Gram staining of blood cultures.

Authors:  Joan Barenfanger; Donald R Graham; Lavanya Kolluri; Gaurav Sangwan; Jerry Lawhorn; Cheryl A Drake; Steven J Verhulst; Ryan Peterson; Lauren B Moja; Matthew M Ertmoed; Ashley B Moja; Douglas W Shevlin; Robert Vautrain; Charles D Callahan
Journal:  Am J Clin Pathol       Date:  2008-12       Impact factor: 2.493

4.  Comparison of automated processing of flocked swabs with manual processing of fiber swabs for detection of nasal carriage of Staphylococcus aureus.

Authors:  Gillian Jones; Roger Matthews; Richard Cunningham; Peter Jenks
Journal:  J Clin Microbiol       Date:  2011-04-27       Impact factor: 5.948

5.  The value of routine microbial investigation in ventilator-associated pneumonia.

Authors:  J Rello; M Gallego; D Mariscal; R Soñora; J Valles
Journal:  Am J Respir Crit Care Med       Date:  1997-07       Impact factor: 21.405

Review 6.  Automation in clinical microbiology.

Authors:  Paul P Bourbeau; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2013-03-20       Impact factor: 5.948

7.  First evaluation of automated specimen inoculation for wound swab samples by use of the Previ Isola system compared to manual inoculation in a routine laboratory: finding a cost-effective and accurate approach.

Authors:  Alexander Mischnik; Markus Mieth; Cornelius J Busch; Stefan Hofer; Stefan Zimmermann
Journal:  J Clin Microbiol       Date:  2012-06-12       Impact factor: 5.948

Review 8.  Automation in clinical bacteriology: what system to choose?

Authors:  G Greub; G Prod'hom
Journal:  Clin Microbiol Infect       Date:  2011-05       Impact factor: 8.067

9.  Rapid identification and antimicrobial susceptibility testing reduce antibiotic use and accelerate pathogen-directed antibiotic use.

Authors:  J J Kerremans; P Verboom; T Stijnen; L Hakkaart-van Roijen; W Goessens; H A Verbrugh; M C Vos
Journal:  J Antimicrob Chemother       Date:  2007-12-21       Impact factor: 5.790

Review 10.  Revolutionising bacteriology to improve treatment outcomes and antibiotic stewardship.

Authors:  David M Livermore; John Wain
Journal:  Infect Chemother       Date:  2013-03-29
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  15 in total

1.  Evaluation of the Accelerate Pheno System for Fast Identification and Antimicrobial Susceptibility Testing from Positive Blood Cultures in Bloodstream Infections Caused by Gram-Negative Pathogens.

Authors:  Matthias Marschal; Johanna Bachmaier; Ingo Autenrieth; Philipp Oberhettinger; Matthias Willmann; Silke Peter
Journal:  J Clin Microbiol       Date:  2017-04-26       Impact factor: 5.948

2.  The Invisible Army.

Authors:  Peter H Gilligan
Journal:  J Clin Microbiol       Date:  2017-06-28       Impact factor: 5.948

Review 3.  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

4.  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

5.  Consolidated clinical microbiology laboratories.

Authors:  Robert L Sautter; Richard B Thomson
Journal:  J Clin Microbiol       Date:  2014-09-24       Impact factor: 5.948

6.  Automatic Digital Plate Reading for Surveillance Cultures.

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

7.  Standardization of Operator-Dependent Variables Affecting Precision and Accuracy of the Disk Diffusion Method for Antibiotic Susceptibility Testing.

Authors:  Michael Hombach; Florian P Maurer; Tamara Pfiffner; Erik C Böttger; Reinhard Furrer
Journal:  J Clin Microbiol       Date:  2015-10-14       Impact factor: 5.948

Review 8.  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

Review 9.  New Developments in Clinical Bacteriology Laboratories.

Authors:  Robin Patel
Journal:  Mayo Clin Proc       Date:  2016-08-21       Impact factor: 7.616

10.  Evaluation of MetaSystems Automated Fluorescent Microscopy System for the Machine-Assisted Detection of Acid-Fast Bacilli in Clinical Samples.

Authors:  Gianna Tomasello; Farnaz Foroughi; Danielle Padron; Angel Moreno; Niaz Banaei
Journal:  J Clin Microbiol       Date:  2022-09-19       Impact factor: 11.677

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