Literature DB >> 30269180

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

Melanie L Yarbrough1, William Lainhart1, Allison R McMullen1,2, Neil W Anderson1, Carey-Ann D Burnham3.   

Abstract

Total laboratory automation (TLA) has the potential to reduce specimen processing time, improve standardization of cultures, and decrease turnaround time (TAT). The objective of this study was to perform a detailed interrogation of the impact of TLA implementation in all aspects of the workflow for routine culture of urine specimens. Using a detailed motion capture study, the time required for major steps of processing and result reporting were prospectively assessed for urine samples prior to (n = 215) and after (n = 203) implementation of the BD Kiestra TLA system. Specimens were plated on all shifts, but cultures were read only during the day shift for both time periods. Significant increases were noted in the time from receipt to inoculation (23.0 min versus 32.0 min, p < 0.001) and total processing time (28.0 min versus 66.0 min, p < 0.0001) for urine specimens post-TLA. Rates of positive (18.6% versus 16.3%) and negative (71.2% versus 79.3%) urine cultures remained stable through the pre- and post-TLA time periods (p = 0.58). There were no changes in TAT for organism identification or susceptibility results. The time to final report was decreased from 43.8 h pre-TLA to 42.0 h post-TLA, which was attributed to significant decreases in TAT for negative cultures (42.0 h versus 37.5 h, p = 0.01). These findings demonstrate that changes in laboratory workflow are necessary to maximize efficiency of TLA and optimize TAT.

Keywords:  Kiestra; Total laboratory automation; Turnaround time; Urine culture

Mesh:

Year:  2018        PMID: 30269180     DOI: 10.1007/s10096-018-3391-7

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  24 in total

1.  The American Society for Clinical Pathology's 2014 vacancy survey of medical laboratories in the United States.

Authors:  Edna Garcia; Asma M Ali; Ryan M Soles; D Grace Lewis
Journal:  Am J Clin Pathol       Date:  2015-09       Impact factor: 2.493

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

Authors:  Giorgio Da Rin; Maira Zoppelletto; Giuseppe Lippi
Journal:  Lab Med       Date:  2015-12-29

Review 3.  Laboratory automation in clinical bacteriology: what system to choose?

Authors:  A Croxatto; G Prod'hom; F Faverjon; Y Rochais; G Greub
Journal:  Clin Microbiol Infect       Date:  2016-01-20       Impact factor: 8.067

4.  Impact of introduction of the BD Kiestra InoqulA on urine culture results in a hospital clinical microbiology laboratory.

Authors:  Sharon Strauss; Paul P Bourbeau
Journal:  J Clin Microbiol       Date:  2015-03-04       Impact factor: 5.948

5.  Fully automated disc diffusion for rapid antibiotic susceptibility test results: a proof-of-principle study.

Authors:  Michael Hombach; Marion Jetter; Nicolas Blöchliger; Natalia Kolesnik-Goldmann; Erik C Böttger
Journal:  J Antimicrob Chemother       Date:  2017-06-01       Impact factor: 5.790

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.  Clinical microbiology laboratory: from the Pasteur model to the 24/7 clinical chemistry concept.

Authors:  O Dauwalder; F Vandenesch
Journal:  Clin Microbiol Infect       Date:  2014-07-08       Impact factor: 8.067

8.  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

9.  Identification of Streptococcus pneumoniae: Development of a Standardized Protocol for Optochin Susceptibility Testing Using Total Lab Automation.

Authors:  Irene Burckhardt; Jessica Panitz; Florian Burckhardt; Stefan Zimmermann
Journal:  Biomed Res Int       Date:  2017-03-19       Impact factor: 3.411

10.  Performance of Kiestra total laboratory automation combined with MS in clinical microbiology practice.

Authors:  Nico T Mutters; Caspar J Hodiamont; Menno D de Jong; Hendri P J Overmeijer; Mandy van den Boogaard; Caroline E Visser
Journal:  Ann Lab Med       Date:  2014-02-13       Impact factor: 3.464

View more
  7 in total

Review 1.  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

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

Authors:  Karissa Culbreath; Heather Piwonka; John Korver; Mir Noorbakhsh
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

3.  Stop Waiting for Tomorrow: Disk Diffusion Performed on Early Growth Is an Accurate Method for Antimicrobial Susceptibility Testing with Reduced Turnaround Time.

Authors:  Daniel M Webber; Meghan A Wallace; Carey-Ann D Burnham
Journal:  J Clin Microbiol       Date:  2022-02-02       Impact factor: 11.677

Review 4.  Laboratory Automation in Clinical Microbiology.

Authors:  Irene Burckhardt
Journal:  Bioengineering (Basel)       Date:  2018-11-22

5.  Laboratory Automation in the Microbiology Laboratory: an Ongoing Journey, Not a Tale?

Authors:  Stefan Zimmermann
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

6.  Total Laboratory Automation and Three Shifts Reduce Turnaround Time of Cerebrospinal Fluid Culture Results in the Chinese Clinical Microbiology Laboratory.

Authors:  Weili Zhang; Siying Wu; Jin Deng; Quanfeng Liao; Ya Liu; Li Xiong; Ling Shu; Yu Yuan; Yuling Xiao; Ying Ma; Mei Kang; Dongdong Li; Yi Xie
Journal:  Front Cell Infect Microbiol       Date:  2021-12-02       Impact factor: 5.293

7.  Impact of Total Laboratory Automation on Turnaround Times for Urine Cultures and Screening Specimens for MRSA, ESBL, and VRE Carriage: Retrospective Comparison With Manual Workflow.

Authors:  Abdessalam Cherkaoui; Gesuele Renzi; Romain Martischang; Stephan Harbarth; Nicolas Vuilleumier; Jacques Schrenzel
Journal:  Front Cell Infect Microbiol       Date:  2020-10-28       Impact factor: 5.293

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.