Authors :
Patricia Aboagye Boateng
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/yubvshbv
Scribd :
https://tinyurl.com/mzw2yv48
DOI :
https://doi.org/10.38124/ijisrt/26aug525
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Introduction:
Quality indicators (QIs) are useful evaluation tools that enable the identification of clinical laboratory performance levels
and can be used to assess critical healthcare dimensions depending on the objective measures. Standardized and recognized QIs
are used to monitor clinical laboratory errors and to manage the risk in diagnostic testing (Grecu et al., 2014, as cited in
Alshaghdali et al., 2022).
Aim:
The aim of this secondary research is to review the frequency of clinical laboratory errors and to determine the need to
continually conduct critical research on the analytical stage even in the phase of automation and modern technologies.
Method:
Literature searches were conducted through Google Scholar, PubMed, Scopus and Scielo to retrieve studies published from
10 years ago but only 9 studies from year 2020 were used for the analysis. Critical Appraisal Skills Program (CASP) tool was
used to select the studies based on predefined criteria.
Keywords :
Preanalytical Errors, Analytical Errors, Post-Analytical Errors, Total Testing Process, Non-Conformances, Clinical Laboratory.
References :
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Introduction:
Quality indicators (QIs) are useful evaluation tools that enable the identification of clinical laboratory performance levels
and can be used to assess critical healthcare dimensions depending on the objective measures. Standardized and recognized QIs
are used to monitor clinical laboratory errors and to manage the risk in diagnostic testing (Grecu et al., 2014, as cited in
Alshaghdali et al., 2022).
Aim:
The aim of this secondary research is to review the frequency of clinical laboratory errors and to determine the need to
continually conduct critical research on the analytical stage even in the phase of automation and modern technologies.
Method:
Literature searches were conducted through Google Scholar, PubMed, Scopus and Scielo to retrieve studies published from
10 years ago but only 9 studies from year 2020 were used for the analysis. Critical Appraisal Skills Program (CASP) tool was
used to select the studies based on predefined criteria.
Keywords :
Preanalytical Errors, Analytical Errors, Post-Analytical Errors, Total Testing Process, Non-Conformances, Clinical Laboratory.