Repeatability and reproducibility in med labs: A procedure to measurement system analysis

Doraid Dalalah, Ali Diabat

    Research output: Contribution to journalArticle

    Abstract

    Measured data variation is crucial in medical measurements as it may affect the diagnosis and hence the treatment. This study introduces a procedure for measurement assessment in medical laboratories. The authors employ different quality measures such as the signal-to-noise, discrimination and precision-to-tolerance ratios to evaluate a measurement system of different gages. The different quality criteria will be mapped into one quality diagram that informs about the adequacy of a measurement system. A gage repeatability and reproducibility study in conjunction with analysis of variance analysis are employed. The authors also introduce a health quality characteristic index (HQCI) as a standard indicator of health status according to a given health characteristic. The established procedure, diagrams and HQCI guidelines could remarkably chart the accuracy of measurements and the precision of the used gages on blood pressure data conducted in a clinic. The presented guidelines can be potentially valuable for the assessment measurement with minimal statistical knowledge.

    Original languageEnglish (US)
    Pages (from-to)826-835
    Number of pages10
    JournalIET Science, Measurement and Technology
    Volume9
    Issue number7
    DOIs
    StatePublished - Jan 1 2015

    Fingerprint

    systems analysis
    Systems analysis
    health
    Health
    Gages
    diagrams
    blood pressure
    analysis of variance
    adequacy
    Blood pressure
    charts
    Analysis of variance (ANOVA)
    discrimination

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics
    • Electrical and Electronic Engineering

    Cite this

    Repeatability and reproducibility in med labs : A procedure to measurement system analysis. / Dalalah, Doraid; Diabat, Ali.

    In: IET Science, Measurement and Technology, Vol. 9, No. 7, 01.01.2015, p. 826-835.

    Research output: Contribution to journalArticle

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