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Quality Specifications for Glucose Meters: Assessment by Simulation Modeling of Errors in Insulin Dose
James C. Boyd and David E. Bruns Clinical Chemistry. 2001;47:209-214).

In this study, we asked the question: What is the effect of analytical performance on the ability to correctly direct the administration of the dose of insulin intended for the patient’s ("true") glucose concentration? We reasoned that a method with high imprecision or bias would frequently yield results sufficiently different from the patient’s true glucose that the insulin dose would differ from the intended dose. To assess this effect, we used simulation modeling to simulate glucose meters with specified bias and imprecision. The modeling provided confident estimates of the dosage error rates for meters of known imprecision and/or bias.

Data from this study was used in the May 11, 2005 webcast
"Glucose Testing in Critical Care: Looking to the Lab for Precision & Accuracy"

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