Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2021 Feb 18;59(3):e01969-20.
doi: 10.1128/JCM.01969-20. Print 2021 Feb 18.

Benefits Derived from Full Laboratory Automation in Microbiology: a Tale of Four Laboratories

Affiliations
Multicenter Study

Benefits Derived from Full Laboratory Automation in Microbiology: a Tale of Four Laboratories

Karissa Culbreath et al. J Clin Microbiol. .

Abstract

Automation in clinical microbiology is starting to become more commonplace and reportedly offers several advantages over the manual laboratory. Most studies have reported on the rapid turnaround times for culture results, including times for identification of pathogens and their respective antimicrobial susceptibilities, but few have studied the benefits from a laboratory efficiency point of view. This is the first large, multicenter study in North America to report on the benefits derived from automation measured in full-time equivalents (FTE), FTE reallocation, productivity, cost per specimen, and cost avoidance. Pre- and post-full automation audits were done at 4 laboratories that have vastly different culture volumes, and results show that regardless of the size of the facility, improved efficiencies can be realized after implementation of full laboratory automation.

Keywords: efficiency; laboratory automation.

PubMed Disclaimer

Figures

FIG 1
FIG 1
Turnaround times for TC through evaluation period. Pre-WASP 2015, no automation in the clinical laboratory; WASP 2015, initial implementation of the WASP alone; FLA 2016, initial integration of FLA; FLA 2018, implementation of algorithm-assisted FLA.

Comment in

References

    1. Burckhardt I, Horner S, Burckhardt F, Zimmermann S. 2018. Detection of MRSA in nasal swabs—marked reduction of time to report for negative reports by substituting classical manual workflow with total lab automation. Eur J Clin Microbiol Infect Dis 37:1745–1751. doi:10.1007/s10096-018-3308-5. - DOI - PMC - PubMed
    1. Croxatto A, Marcelpoil R, Orny C, Didier M, Prod'hom G, Greub G. 2017. Towards automated detection, semi-quantification and identification of microbial growth in clinical bacteriology: a proof of concept. Biomed J 40:317–328. doi:10.1016/j.bj.2017.09.001. - DOI - PMC - PubMed
    1. Faron ML, Buchan BW, Coon C, Liebregts T, van Bree A, Jansz AR, Soucy G, Korver J, Ledeboer NA. 2016. Automatic digital analysis of chromogenic media for vancomycin-resistant-Enterococcus screens using copan WASPLab. J Clin Microbiol 54:2464–2469. doi:10.1128/JCM.01040-16. - DOI - PMC - PubMed
    1. Faron ML, Buchan BW, Relich R, Clark J, Ledeboer NA. 2020. Evaluation of the WASPLab segregation software to automatically analyze urine cultures using routine blood and MacConkey agars. J Clin Microbiol 58:e01683-19. doi:10.1128/JCM.01683-19. - DOI - PMC - PubMed
    1. Faron ML, Buchan BW, Samra H, Ledeboer NA. 2019. Evaluation of the WASPLab software to automatically read chromID CPS Elite agar for reporting of urine cultures. J Clin Microbiol 58:e00540-19. doi:10.1128/JCM.00540-19. - DOI - PMC - PubMed

Publication types

LinkOut - more resources