Open AccessRepeatability and reproducibility in med labs: a procedure to measurement system analysis
Author(s) -
Dalalah Doraid,
Diabat Ali
Publication year - 2015
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2014.0363
Subject(s) - repeatability , reproducibility , computer science , noise (video) , statistics , chart , variance (accounting) , variance components , accuracy and precision , quality (philosophy) , reliability engineering , data mining , artificial intelligence , mathematics , engineering , philosophy , accounting , epistemology , business , image (mathematics)
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.