Literature DB >> 12589970

The effects of total laboratory automation on the management of a clinical chemistry laboratory. Retrospective analysis of 36 years.

Laszlo Sarkozi1, Elkin Simson, Lakshmi Ramanathan.   

Abstract

BACKGROUND: Thirty-six years of data and history of laboratory practice at our institution has enabled us to follow the effects of analytical automation, then recently pre-analytical and post-analytical automation on productivity, cost reduction and enhanced quality of service.
METHODS: In 1998, we began the operation of a pre- and post-analytical automation system (robotics), together with an advanced laboratory information system to process specimens prior to analysis, deliver them to various automated analytical instruments, specimen outlet racks and finally to refrigerated stockyards. By the end of 3 years of continuous operation, we compared the chemistry part of the system with the prior 33 years and quantitated the financial impact of the various stages of automation.
RESULTS: Between 1965 and 2000, the Consumer Price Index increased by a factor of 5.5 in the United States. During the same 36 years, at our institution's Chemistry Department the productivity (indicated as the number of reported test results/employee/year) increased from 10,600 to 104,558 (9.3-fold). When expressed in constant 1965 dollars, the total cost per test decreased from 0.79 dollars to 0.15 dollars. Turnaround time for availability of results on patient units decreased to the extent that Stat specimens requiring a turnaround time of <1 h do not need to be separately prepared or prioritized on the system.
CONCLUSIONS: Our experience shows that the introduction of a robotics system for perianalytical automation has brought a large improvement in productivity together with decreased operational cost. It enabled us to significantly increase our workload together with a reduction of personnel. In addition, stats are handled easily and there are benefits such as safer working conditions and improved sample identification, which are difficult to quantify at this stage.

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Year:  2003        PMID: 12589970     DOI: 10.1016/s0009-8981(03)00020-2

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  10 in total

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Authors:  Taho Yang; Teng-Kuan Wang; Vincent C Li; Chia-Lo Su
Journal:  J Med Syst       Date:  2014-12-04       Impact factor: 4.460

Review 3.  Clinical Chemistry Laboratory Automation in the 21st Century - Amat Victoria curam (Victory loves careful preparation).

Authors:  David A Armbruster; David R Overcash; Jaime Reyes
Journal:  Clin Biochem Rev       Date:  2014-08

4.  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

5.  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

6.  Economic and workflow analysis of a blood bank automated system.

Authors:  Kyung-Hwa Shin; Hyung Hoi Kim; Chulhun L Chang; Eun Yup Lee
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7.  Towards standardized automated immunomonitoring: an automated ELISpot assay for safe and parallelized functionality analysis of immune cells.

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Review 8.  Automation in the Life Science Research Laboratory.

Authors:  Ian Holland; Jamie A Davies
Journal:  Front Bioeng Biotechnol       Date:  2020-11-13

9.  Automation of antimicrobial activity screening.

Authors:  Samuel P Forry; Megan C Madonna; Daneli López-Pérez; Nancy J Lin; Madeleine D Pasco
Journal:  AMB Express       Date:  2016-03-12       Impact factor: 3.298

10.  Economic Evaluation of Total Laboratory Automation in the Clinical Laboratory of a Tertiary Care Hospital.

Authors:  KyungYi Kim; Sang-Guk Lee; Tae Hyun Kim; Sang Gyu Lee
Journal:  Ann Lab Med       Date:  2022-01-01       Impact factor: 3.464

  10 in total

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