Analyzing Errors In Laboratory Testing: Causes And Prevention Strategies
Abstract
Laboratory testing informs most medical diagnoses, so errors occurring throughout the testing process pose a major threat to patient safety. Specimen misidentification and pre-analytical mistakes are common, while analytical errors can also compromise results. Post-analytical errors may arise during result reporting and interpretation. Causes are multifactorial, including high volumes, staff shortages, cumbersome systems, and human factors. While analytical errors have declined with automation, pre-analytical and post-analytical mistakes persist. Strategies [1]to reduce errors include staff training, standardized procedures, electronic tracking, improved communication channels, and a culture of safety. Monitoring quality indicators enables assessment of vulnerabilities. A multifaceted approach focused on systemic factors and human elements is required to enhance laboratory reliability and accuracy. This review examines types, frequency, causes of laboratory errors, and quality improvement strategies to mitigate risks.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0