Literature DB >> 23931839

Automation in the clinical microbiology laboratory.

Susan M Novak1, Elizabeth M Marlowe.   

Abstract

Imagine a clinical microbiology laboratory where a patient's specimens are placed on a conveyor belt and sent on an automation line for processing and plating. Technologists need only log onto a computer to visualize the images of a culture and send to a mass spectrometer for identification. Once a pathogen is identified, the system knows to send the colony for susceptibility testing. This is the future of the clinical microbiology laboratory. This article outlines the operational and staffing challenges facing clinical microbiology laboratories and the evolution of automation that is shaping the way laboratory medicine will be practiced in the future.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical microbiology; Efficiency; Preanalytical automation; Quality; Total laboratory automation

Mesh：

Year:  2013        PMID： 23931839     DOI： 10.1016/j.cll.2013.03.002

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN： 0272-2712            Impact factor:   1.935


  9 in total

1.  The automated clinical microbiology laboratory: fact or fantasy?

Authors:  Nathan A Ledeboer; Steven D Dallas
Journal:  J Clin Microbiol       Date:  2014-03-19       Impact factor: 5.948

Review 2.  Clinical microbiology informatics.

Authors:  Daniel D Rhoads; Vitali Sintchenko; Carol A Rauch; Liron Pantanowitz
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

Review 3.  Emerging technologies for the clinical microbiology laboratory.

Authors:  Blake W Buchan; Nathan A Ledeboer
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

4.  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

5.  Effect of Electrode Geometry on the Classification Performance of Rapid Evaporative Ionization Mass Spectrometric (REIMS) Bacterial Identification.

Authors:  Zsolt Bodai; Simon Cameron; Frances Bolt; Daniel Simon; Richard Schaffer; Tamas Karancsi; Julia Balog; Tony Rickards; Adam Burke; Kate Hardiman; Julia Abda; Monica Rebec; Zoltan Takats
Journal:  J Am Soc Mass Spectrom       Date:  2017-10-16       Impact factor: 3.109

Review 6.  Dielectrophoresis for Biomedical Sciences Applications: A Review.

Authors:  Nurhaslina Abd Rahman; Fatimah Ibrahim; Bashar Yafouz
Journal:  Sensors (Basel)       Date:  2017-02-24       Impact factor: 3.576

7.  High diversity of airborne fungi in the hospital environment as revealed by meta-sequencing-based microbiome analysis.

Authors:  Xunliang Tong; Hongtao Xu; Lihui Zou; Meng Cai; Xuefeng Xu; Zuotao Zhao; Fei Xiao; Yanming Li
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

Review 8.  Clinical Utility of Advanced Microbiology Testing Tools.

Authors:  Melissa B Miller; Faranak Atrzadeh; C A Burnham; Stephen Cavalieri; James Dunn; Stephen Jones; Charles Mathews; Peggy McNult; John Meduri; Chris Newhouse; Duane Newton; Michael Oberholzer; John Osiecki; David Pedersen; Nicole Sweeney; Natalie Whitfield; Joe Campos
Journal:  J Clin Microbiol       Date:  2019-08-26       Impact factor: 5.948

Review 9.  A review of the current state of digital plate reading of cultures in clinical microbiology.

Authors:  Daniel D Rhoads; Susan M Novak; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2015-05-28
  9 in total

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