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Quality indicators to detect pre-analytical errors in laboratory testing.

Mario Plebani¹

¹Department of Laboratory Medicine, University-Hospital, Padova, Italy.

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|August 30, 2012

Summary

This summary is machine-generated.

Most laboratory diagnostic errors stem from pre-analytical steps, particularly the

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Area of Science:

Laboratory diagnostics
Clinical chemistry
Quality management

Background:

Pre-analytical steps are the primary source of errors in laboratory diagnostics.
The 'pre-pre-analytical phase,' outside direct laboratory control, is increasingly recognized as a major error contributor.
Existing quality indicators (QIs) need to encompass the entire pre-analytical workflow.

Purpose of the Study:

To describe the current state of quality indicators in laboratory testing.
To present the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) working group's experience in developing a QI model.
To highlight the importance of QIs covering the full pre-analytical phase.

Main Methods:

Review of the state-of-the-art in laboratory testing QIs.
Focus on the IFCC working group's methodology for developing a QI model.
Analysis of 16 pre-analytical phase-focused QIs within the proposed model.

Main Results:

The pre-analytical phase, including the 'pre-pre-analytical phase,' is critical for diagnostic accuracy.
A comprehensive model for QIs has been developed, addressing all pre-analytical steps.
Sixteen specific QIs focus on optimizing the pre-analytical phase.

Conclusions:

Effective quality management in laboratory diagnostics requires robust QIs for the entire pre-analytical phase.
The IFCC model provides a framework for implementing and monitoring pre-analytical QIs.
Addressing errors in the 'pre-pre-analytical phase' is crucial for improving laboratory test reliability.