Evaluating the Suitability of Accreditation Standards for Measurement Uncertainty in Clinical Laboratories: A Study on Saudi Arabia’s CBAHI Accreditation
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By
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Majdi A. Aljohani
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July 17, 2026
Clinical Report: Evaluating the Suitability of Accreditation Standards for Measurement Uncertainty in Clinical Laboratories
Overview
This study evaluates the coverage of measurement uncertainty (MU) in Saudi Arabia's CBAHI accreditation standards, revealing a lack of explicit requirements for MU estimation.
Background
Measurement uncertainty is critical for ensuring the reliability of laboratory results, influencing clinical decision-making and patient safety. While many international standards mandate MU as a core component of laboratory quality management, its status within Saudi Arabia's national accreditation system remains ambiguous.
Data Highlights
CBAHI standards showed moderate to high alignment with ISO 15189:2022 in several quality domains, but lacked explicit MU coverage across all standards, scoring 0 for explicit MU requirements.
Key Findings
- CBAHI standards scored 0 for explicit MU requirements across seven analyzed standards.
- International standards like ISO 15189:2022 and CAP ISO 15189 consider MU a mandatory requirement.
- MU estimation is crucial for avoiding diagnostic misclassification, especially near critical decision thresholds.
- Biological variation-based analytical performance specifications for clinical chemistry analytes were close to diagnostic thresholds.
Clinical Implications
The absence of explicit MU requirements in CBAHI standards may lead to diagnostic errors in clinical laboratories.
Conclusion
The study highlights a significant gap in CBAHI accreditation standards regarding measurement uncertainty.
Related Resources & Content
- ISO 15189:2022 - ISO 15189 - Medical laboratories — Requirements for quality and competence
- JCTLM Database
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- ISO 15189:2022 - ISO 15189 - Medical laboratories — Requirements for quality and competence
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- An approach for the calculation of preliminary measurement uncertainty values in clinical routine laboratories using verification data - ScienceDirect
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