Literature DB >> 24811476

Process evaluation of an open architecture real-time molecular laboratory platform.

Robin A Felder1, Keith D Jackson2, Adam M Walter2.   

Abstract

The needs of molecular diagnostic laboratories that perform both Food and Drug Administration-cleared as well as laboratory-developed tests are usually not met on a single analytical platform. Furthermore, little information is available about the direct impact of molecular automation on labor costs and efficiency in clinical laboratories. We performed a process impact analysis from time and motion studies of a novel molecular diagnostic robotic system designed to automate sample preparation, extraction, and analysis. All 27 preanalytical tasks were quantified for the amount of time spent preparing 24 specimens for analysis. These steps were completed in 899 s (14 min, 59 s) followed by 7887 s (131 min, 27 s) of instrument operation independent of operator control (walk-away time). Postanalytical results evaluation required 1 min per specimen. The instrument automatically extracted the nucleic acid from the specimen, added the eluted DNA to the amplification reagents, and performed the analysis. Only 12% of the total instrument operations required relatively unskilled human labor. Thus, the availability of automated molecular diagnostic instruments will facilitate the expansion of molecular testing in the clinical laboratory because they reduce operator costs with respect to time and complexity of the tasks they are asked to perform.
© 2014 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  automation; clinical laboratory robotics; molecular diagnostics; process evaluation; process improvement; process optimization

Mesh:

Year:  2014        PMID: 24811476     DOI: 10.1177/2211068214533195

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  3 in total

Review 1.  Respiratory Syncytial Virus: Infection, Detection, and New Options for Prevention and Treatment.

Authors:  Cameron Griffiths; Steven J Drews; David J Marchant
Journal:  Clin Microbiol Rev       Date:  2017-01       Impact factor: 26.132

2.  Comparison of time-motion analysis of conventional stool culture and the BD MAX™ Enteric Bacterial Panel (EBP).

Authors:  Joel E Mortensen; Cindi Ventrola; Sarah Hanna; Adam Walter
Journal:  BMC Clin Pathol       Date:  2015-05-28

3.  Migrating a lab-developed MERS-CoV real-time PCR to 3 "Sample to Result" systems: experiences on optimization and validation.

Authors:  Glynis Frans; Kurt Beuselinck; Bart Peeters; Marc Van Ranst; Veroniek Saegeman; Stefanie Desmet; Katrien Lagrou
Journal:  Diagn Microbiol Infect Dis       Date:  2019-02-10       Impact factor: 2.803

  3 in total

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