Authors :
Renukadevi D.; Dr. Nagendra Kumar Swarnkar; Anushamol B.
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/ymvzpry7
Scribd :
https://tinyurl.com/5xnpvabw
DOI :
https://doi.org/10.38124/ijisrt/26jun1073
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Background:
Pre-analytical errors remain the leading source of laboratory testing failures and significantly influence patient safety,
cost, and turnaround time. Specimen rejection rate is a recognized laboratory quality indicator.
Methods:
A retrospective analytical study evaluated all rejected specimens received between January and December 2024.
Rejection rates were calculated using total test volumes. Statistical methods included descriptive statistics, binomial
confidence intervals, chi-square testing, coefficient of variation, time-series analysis, Pareto analysis, statistical process
control (p-chart), and performance benchmarking.
References :
- Plebani M. Errors in clinical laboratories. Clin Chem Lab Med. 2006.
- Lippi G, et al. Pre-analytical variability. Clin Chem Lab Med. 2011.
- Carraro P, Plebani M. Laboratory errors. Clin Chem. 2007.
- Simundic AM. Pre-analytical phase overview. Biochem Med. 2014.
- Bonini P, et al. Errors in laboratory medicine. Clin Chem. 2002.
- Hawkins R. Managing pre-analytical errors. Clin Biochem Rev. 2012.
- Green SF. Specimen quality impact. Clin Biochem. 2013.
- Lippi G, et al. Hemolysis interference. Clin Chem Lab Med. 2006.
- Plebani M. Quality indicators in laboratory medicine. Clin Chem Lab Med. 2010.
- ISO 15189. Medical laboratories requirements.
Background:
Pre-analytical errors remain the leading source of laboratory testing failures and significantly influence patient safety,
cost, and turnaround time. Specimen rejection rate is a recognized laboratory quality indicator.
Methods:
A retrospective analytical study evaluated all rejected specimens received between January and December 2024.
Rejection rates were calculated using total test volumes. Statistical methods included descriptive statistics, binomial
confidence intervals, chi-square testing, coefficient of variation, time-series analysis, Pareto analysis, statistical process
control (p-chart), and performance benchmarking.