Evaluating Expanded Uncertainty in Medical Laboratory Measurements: Enhancing Diagnostic Accuracy

Session

Medicine and Nursing

Description

Accurate measurement is the foundation of reliable diagnostic testing in medical laboratories. The concept of expanded uncertainty quantifies this variability, expressing a confidence interval within which the true value of a measured quantity is expected to lie. In the context of clinical diagnostics, understanding and minimizing this uncertainty is critical to ensure that physicians make decisions based on dependable data. In medical laboratories, the precision and reliability of diagnostic measurements are fundamental to ensuring effective patient care. This study investigates the concept of expanded uncertainty in measurement, an essential parameter that quantifies the range within which the true value of a measurement lies. By identifying and analyzing various sources of uncertainty, including instrument calibration errors, environmental influences, reagent variability, and operator performance, this research aims to improve understanding of how these factors collectively impact diagnostic accuracy. Emphasis is placed on statistical approaches for calculating expanded uncertainty and the implementation of quality assurance protocols that mitigate measurement errors. The findings contribute to establishing standardized methods for uncertainty evaluation, ultimately enhancing the credibility, reproducibility, and diagnostic value of laboratory test results.

Keywords:

Expanded Uncertainty; Medical Laboratories; Diagnostic Accuracy; Measurement Precision; Calibration; Quality Control; Clinical Diagnostics; Laboratory Reliability

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.381

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Evaluating Expanded Uncertainty in Medical Laboratory Measurements: Enhancing Diagnostic Accuracy

UBT Lipjan, Kosovo

Accurate measurement is the foundation of reliable diagnostic testing in medical laboratories. The concept of expanded uncertainty quantifies this variability, expressing a confidence interval within which the true value of a measured quantity is expected to lie. In the context of clinical diagnostics, understanding and minimizing this uncertainty is critical to ensure that physicians make decisions based on dependable data. In medical laboratories, the precision and reliability of diagnostic measurements are fundamental to ensuring effective patient care. This study investigates the concept of expanded uncertainty in measurement, an essential parameter that quantifies the range within which the true value of a measurement lies. By identifying and analyzing various sources of uncertainty, including instrument calibration errors, environmental influences, reagent variability, and operator performance, this research aims to improve understanding of how these factors collectively impact diagnostic accuracy. Emphasis is placed on statistical approaches for calculating expanded uncertainty and the implementation of quality assurance protocols that mitigate measurement errors. The findings contribute to establishing standardized methods for uncertainty evaluation, ultimately enhancing the credibility, reproducibility, and diagnostic value of laboratory test results.