Ann Lab Med.  2017 Jul;37(4):362-364. 10.3343/alm.2017.37.4.362.

Development and Application of a Laboratory-Developed Quality Control Program for Blood Glucose Monitoring Systems: A Single Institute Experience

Affiliations
  • 1Department of Laboratory Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea.
  • 2Department of Hospital Information, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea.
  • 3Division of Endocrinology and Metabolism, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Korea. mddaniel@catholic.ac.kr

Abstract

No abstract available.


MeSH Terms

Blood Glucose*
Quality Control*
Blood Glucose

Figure

  • Fig. 1 Changes in the analytical performance of a blood glucose monitoring system derived from internal quality control data from March to October 2016. Data are presented as the hospital-wide mean±SDs. CV is shown in (A) and (D), total error in (B) and (E), sigma-metric in (C) and (F). High-level control material (235.1–246.7 mg/dL) in (A), (B), and (C). Low-level control material (134.1–141.4 mg/dL) in (D), (E), and (F).


Reference

1. R Core Team. R: A language and environment for statistical computing. Updated on Oct 2016. http://www.R-project.org.
2. Westgard JO. Desirable Biological Variation Database specifications. Updated on Oct 2014. https://www.westgard.com/biodatabase1.htm.
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