Are accreditation standards fit for measurement uncertainty in clinical laboratories? An analysis of Saudi Arabia’s accreditation - Summary - MDSpire
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Evaluating the Suitability of Accreditation Standards for Measurement Uncertainty in Clinical Laboratories: A Study on Saudi Arabia’s CBAHI Accreditation
To examine the extent to which CBAHI accreditation standards implement measurement uncertainty (MU) and their potential effect on patient safety.
Approach:
Standards Gap Analysis: A structured analysis of seven CBAHI laboratory standards against eight MU-related analytical domains derived from ISO 15189:2022, scored on a 3-level scale.
Comparative Benchmarking: Development of comparative benchmarking for MU expectations across ISO 15189:2022, CAP ISO 15189, and CLSI guidance.
Analytical Performance Specifications: Utilization of a biological variation framework from the EFLM Biological Variation Database to derive analytical performance specifications for MU.
Key Findings:
CBAHI standards showed moderate to high alignment with ISO 15189:2022 in conventional analytical quality domains.
Measurement uncertainty lacked explicit coverage across all seven CBAHI standards.
International standards consider MU a fundamental requirement, unlike CBAHI.
Interpretation:
The absence of explicit MU requirements in CBAHI standards may lead to challenges in diagnostic accuracy.
Limitations:
The study focused only on high-impact analytes responsible for diagnosing high-impact diseases.
CBAHI standards may not reflect the latest international best practices regarding MU.
Conclusion:
Incorporating MU-focused clauses into CBAHI standards is important for aligning with global best practices.