Modeling the effect of instrument drift in clinical laboratories: A serum bilirubin assay case study

Varun Ramamohan, James T. Abbott, George G. Klee, Yuehwern Yih

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Clinical laboratory tests play a vital role in the medical decision making process, including diagnosis, prognostic assessment and drug dosage prescription. Drift or degradation in the performance of the analytic instrument over time can have a significant effect on the uncertainty of the clinical laboratory measurement test result. In this paper, we model the drift in the analytic instrumentation used to perform the laboratory tests, and estimate its effect on the uncertainty of the measurement result. This is accomplished developing a physics-based mathematical model of the total bilirubin laboratory test that describes the measurement result as a function of various sources of uncertainty operating within the total bilirubin measurement process. The Monte Carlo method is used to estimate the uncertainty associated with this model. Drift in the instrument is modeled as affecting both the mean (inaccuracy) and the standard deviation (imprecision) of each source of uncertainty. Further, recalibrating the instrument is postulated as a method to nullify the effect of instrument drift on inaccuracy of the measurement result, and the model is used to estimate the average time interval between successive calibrations such that the drift does not exceed clinically significant total error limits and prevents misdiagnosis.

Original languageEnglish (US)
Pages (from-to)147-164
Number of pages18
JournalIIE Transactions on Healthcare Systems Engineering
Volume5
Issue number3
DOIs
StatePublished - Jul 3 2015

Keywords

  • Measurement uncertainty
  • instrument calibration
  • instrument drift
  • serum bilirubin assay

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health

Fingerprint Dive into the research topics of 'Modeling the effect of instrument drift in clinical laboratories: A serum bilirubin assay case study'. Together they form a unique fingerprint.

  • Cite this