Further Understanding of Measurement Uncertainty in Clinical Laboratory Medicine
10.3969/j.issn.1671-7414.2017.02.001
- VernacularTitle:临床检验测量不确定度的进一步认识
- Author:
Shishi ZHANG
;
Wei WANG
;
Haijian ZHAO
;
Zhiguo WANG
- Keywords:
measurement uncertainty;
total error;
result interpretation
- From:
Journal of Modern Laboratory Medicine
2017;32(2):1-4,9
- CountryChina
- Language:Chinese
-
Abstract:
In clinical laboratory medicine,measurement uncertainty (MU) is a fixed property of testing results in the measuring system.As an important part of ISO 15189,it is necessary for clinical laboratories to determine MU during the period of validation and verification for each measurement procedure and to review MU over time.Now,testing reports provided by clinical laboratories usually do not offer MU,but some clinical laboratories have already estimated MU in their routine work.Estimation andmonitoring of MU can help clinical laboratories offering more accurate results and provide objective tools for clinicians used in result intcrpretatinn.Generally,result interpretation can be achieved by the result comparison with three main comparators,including a previous result from the same patient,a population reference interval and a clinical decision point.The means of true value and the components contributing to the estimation of MU are both different when the com parison is conducted between testing results and different comparators,so the optimum estimation method of MU is accordingly different,which will subsequently affect the MU value and the determination of clinical decisions.Obviously,depending on the actual clinical uses,laboratories can choose appropriate comparators to the result interpretation and the determination of optimum estimation method of MU.For different clinical uses (diagnosis or monitoring) of the same mearurands,the adoption of different estimation methods should be used to acq uire reasonable MU.By interpreting the concept,characteristics,estimation,and uses of MU,as well as explaining how three main comparison methods of results exploit their own traceable chain to get MU,this paper intends to help clinical laboratories get further understanding of the importancc of MU and provide guidance for the MU estimation in routine work.
