Literature DB >> 25609253

Laboratory Automation and Intra-Laboratory Turnaround Time: Experience at the University Hospital Campus Bio-Medico of Rome.

Silvia Angeletti1, Marina De Cesaris2, Jonathan George Hart3, Michele Urbano3, Massimiliano Andrea Vitali3, Fulvio Fragliasso4, Giordano Dicuonzo2.   

Abstract

Intra-laboratory turnaround time (TAT) is a key indicator of laboratory performance. Improving TAT is a complex task requiring staff education, equipment acquisition, and adequate TAT monitoring. The aim of the present study was to evaluate the intra-laboratory TAT after laboratory automation implementation (June 2013-June 2014) and to compare it to that in the preautomation period (July 2012-May 2013). Intra-laboratory TAT was evaluated both as the mean TAT registered and the percentage of outlier (OP) exams. The mean TAT was 36, 38, and 34 min during the study periods, respectively. These values respected the goal TAT established at 45 min. The OP, calculated at 45 min as well as at 60 min, decreased from 26 to 21 and from 11 to 5, respectively. From a focused analysis on blood count cell, troponin I, and prothrombin (PT) test, TAT improvement was more evident for tests requiring longer preanalytical process. The follow-up of TAT from June 2013 to June 2014 revealed the reduction of the mean TAT as well as of the OP exams after automation implementation and that automation more strongly affects the test in the preanalytical phase including centrifugation of the sample, such as troponin I and PT.
© 2015 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  laboratory automation; stat samples; turnaround time (TAT)

Mesh:

Year:  2015        PMID: 25609253     DOI: 10.1177/2211068214566458

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


  5 in total

1.  Key Performance Indicators to Measure Improvement After Implementation of Total Laboratory Automation Abbott Accelerator a3600.

Authors:  Marijana Miler; Nora Nikolac Gabaj; Lora Dukic; Ana-Maria Simundic
Journal:  J Med Syst       Date:  2017-12-27       Impact factor: 4.460

Review 2.  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

3.  The Impact of Total Automaton on the Clinical Laboratory Workforce: A Case Study.

Authors:  Yaser A Al Naam; Salah Elsafi; Majed H Al Jahdali; Randa S Al Shaman; Bader H Al-Qurouni; Eidan M Al Zahrani
Journal:  J Healthc Leadersh       Date:  2022-05-09

4.  Clinical Laboratory Automation: A Case Study.

Authors:  Claudia Archetti; Alessandro Montanelli; Dario Finazzi; Luigi Caimi; Emirena Garrafa
Journal:  J Public Health Res       Date:  2017-06-16

5.  Factors Affecting Turnaround Time in the Clinical Laboratory of the Kathmandu University Hospital, Nepal.

Authors:  Rajendra Dev Bhatt; Chandani Shrestha; Prabodh Risal
Journal:  EJIFCC       Date:  2019-03-01
  5 in total

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