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

Doraid Dalalah, Ali Diabat

Research output: Contribution to journalArticlepeer-review


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
Issue number7
StatePublished - Oct 1 2015

ASJC Scopus subject areas

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


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