» Articles » PMID: 28457964

Multiple Pre- and Post-analytical Lean Approaches to the Improvement of the Laboratory Turnaround Time in a Large Core Laboratory

Overview
Journal Clin Biochem
Specialty Biochemistry
Date 2017 May 2
PMID 28457964
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Core laboratory (CL), as a new business model, facilitates consolidation and integration of laboratory services to enhance efficiency and reduce costs. This study evaluates the impact of total laboratory automation system (TLA), electric track vehicle (ETV) system and auto-verification (AV) of results on overall turnaround time (TAT) (phlebotomy to reporting TAT: PR-TAT) within a CL setting.

Methods: Mean, median and percentage of outlier (OP) for PR-TAT were compared for pre- and post-CL eras using five representative tests based on different request priorities. Comparison studies were also carried out on the intra-laboratory TAT (in-lab to reporting TAT: IR-TAT) and the delivery TAT (phlebotomy to in-lab TAT: PI-TAT) to reflect the efficiency of the TLA (both before and after introducing result AV) and ETV systems respectively.

Results: Median PR-TATs for the urgent samples were reduced on average by 16% across all representative analytes. Median PR-TATs for the routine samples were curtailed by 51%, 50%, 49%, 34% and 22% for urea, potassium, thyroid stimulating hormone (TSH), complete blood count (CBC) and prothrombin time (PT) respectively. The shorter PR-TAT was attributed to a significant reduction of IR-TAT through the TLA. However, the median PI-TAT was delayed when the ETV was used. Application of various AV rules shortened the median IR-TATs for potassium and urea. However, the OP of PR-TAT for the STAT requests exceeding 60min were all higher than those from the pre-CL era.

Conclusions: TLA and auto-verification rules help to efficiently manage substantial volumes of urgent and routine samples. However, the ETV application as it stands shows a negative impact on the PR-TAT.

Citing Articles

Improving laboratory turnaround times in clinical settings: A systematic review of the impact of lean methodology application.

Cherie N, Berta D, Tamir M, Yiheyis Z, Angelo A, Mekuanint Tarekegn A PLoS One. 2024; 19(10):e0312033.

PMID: 39418234 PMC: 11486360. DOI: 10.1371/journal.pone.0312033.


Development of a notification delivery specimen system for perioperative Thai nurses via the LINE application.

Yodchai K, Khaorapapong T, Karnjanadecha M, Songsriboonsit B Digit Health. 2023; 9:20552076231211242.

PMID: 37928332 PMC: 10623984. DOI: 10.1177/20552076231211242.


Externalities of Lean Implementation in Medical Laboratories. Process Optimization vs. Adaptation and Flexibility for the Future.

Apostu S, Vasile V, Veres C Int J Environ Res Public Health. 2021; 18(23).

PMID: 34886029 PMC: 8657048. DOI: 10.3390/ijerph182312309.


Use of Middleware Data to Dissect and Optimize Hematology Autoverification.

Starks R, Merrill A, Davis S, Voss D, Goldsmith P, Brown B J Pathol Inform. 2021; 12:19.

PMID: 34221635 PMC: 8240550. DOI: 10.4103/jpi.jpi_89_20.


Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting.

Coetzee L, Cassim N, Glencross D Afr J Lab Med. 2021; 9(1):1102.

PMID: 33392052 PMC: 7756605. DOI: 10.4102/ajlm.v9i1.1102.