Analysis of uncertainty due to calibration in clinical laboratory measurement processes

Varun Ramamohan, Yuehwern Yih, Jim Abbott, George Klee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The calibration of the instrument used in the analytical stage of a clinical laboratory testing process has a significant contribution to the uncertainty of the final measurement result. In this paper, we present the development of a mathematical model of the analytical stage of the serum cholesterol laboratory test that quantifies and integrates the uncertainties of the various components of the laboratory measurement system. Monte Carlo simulation is used to estimate the net uncertainty of associated with the measurement system. The model is further used to quantify the effect of uncertainty in calibration parameters on both the location and spread of the distribution of the final laboratory measurement result. In addition, the effect of the choice of calibrator concentration levels on the uncertainty of the measurement is quantified using Monte Carlo simulation. The simulation is also used to identify the optimal calibrator concentration levels that minimize uncertainty at medical decision points as well as across the patient concentration level range. The Monte Carlo methodology of optimal calibrator selection presented in this paper can be extended to linear calibration measurement systems in general.

Original languageEnglish (US)
Title of host publication62nd IIE Annual Conference and Expo 2012
PublisherInstitute of Industrial Engineers
Pages2100-2109
Number of pages10
StatePublished - 2012
Event62nd IIE Annual Conference and Expo 2012 - Orlando, FL, United States
Duration: May 19 2012May 23 2012

Other

Other62nd IIE Annual Conference and Expo 2012
CountryUnited States
CityOrlando, FL
Period5/19/125/23/12

Fingerprint

Clinical laboratories
Calibration
Cholesterol
Uncertainty
Mathematical models
Testing

Keywords

  • Calibration analysis
  • Clinical laboratory measurements
  • Monte carlo simulation
  • Uncertainty estimation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Ramamohan, V., Yih, Y., Abbott, J., & Klee, G. (2012). Analysis of uncertainty due to calibration in clinical laboratory measurement processes. In 62nd IIE Annual Conference and Expo 2012 (pp. 2100-2109). Institute of Industrial Engineers.

Analysis of uncertainty due to calibration in clinical laboratory measurement processes. / Ramamohan, Varun; Yih, Yuehwern; Abbott, Jim; Klee, George.

62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers, 2012. p. 2100-2109.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ramamohan, V, Yih, Y, Abbott, J & Klee, G 2012, Analysis of uncertainty due to calibration in clinical laboratory measurement processes. in 62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers, pp. 2100-2109, 62nd IIE Annual Conference and Expo 2012, Orlando, FL, United States, 5/19/12.
Ramamohan V, Yih Y, Abbott J, Klee G. Analysis of uncertainty due to calibration in clinical laboratory measurement processes. In 62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers. 2012. p. 2100-2109
Ramamohan, Varun ; Yih, Yuehwern ; Abbott, Jim ; Klee, George. / Analysis of uncertainty due to calibration in clinical laboratory measurement processes. 62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers, 2012. pp. 2100-2109
@inproceedings{37ae55166c5b4dda8f4ccfb64ed329d4,
title = "Analysis of uncertainty due to calibration in clinical laboratory measurement processes",
abstract = "The calibration of the instrument used in the analytical stage of a clinical laboratory testing process has a significant contribution to the uncertainty of the final measurement result. In this paper, we present the development of a mathematical model of the analytical stage of the serum cholesterol laboratory test that quantifies and integrates the uncertainties of the various components of the laboratory measurement system. Monte Carlo simulation is used to estimate the net uncertainty of associated with the measurement system. The model is further used to quantify the effect of uncertainty in calibration parameters on both the location and spread of the distribution of the final laboratory measurement result. In addition, the effect of the choice of calibrator concentration levels on the uncertainty of the measurement is quantified using Monte Carlo simulation. The simulation is also used to identify the optimal calibrator concentration levels that minimize uncertainty at medical decision points as well as across the patient concentration level range. The Monte Carlo methodology of optimal calibrator selection presented in this paper can be extended to linear calibration measurement systems in general.",
keywords = "Calibration analysis, Clinical laboratory measurements, Monte carlo simulation, Uncertainty estimation",
author = "Varun Ramamohan and Yuehwern Yih and Jim Abbott and George Klee",
year = "2012",
language = "English (US)",
pages = "2100--2109",
booktitle = "62nd IIE Annual Conference and Expo 2012",
publisher = "Institute of Industrial Engineers",

}

TY - GEN

T1 - Analysis of uncertainty due to calibration in clinical laboratory measurement processes

AU - Ramamohan, Varun

AU - Yih, Yuehwern

AU - Abbott, Jim

AU - Klee, George

PY - 2012

Y1 - 2012

N2 - The calibration of the instrument used in the analytical stage of a clinical laboratory testing process has a significant contribution to the uncertainty of the final measurement result. In this paper, we present the development of a mathematical model of the analytical stage of the serum cholesterol laboratory test that quantifies and integrates the uncertainties of the various components of the laboratory measurement system. Monte Carlo simulation is used to estimate the net uncertainty of associated with the measurement system. The model is further used to quantify the effect of uncertainty in calibration parameters on both the location and spread of the distribution of the final laboratory measurement result. In addition, the effect of the choice of calibrator concentration levels on the uncertainty of the measurement is quantified using Monte Carlo simulation. The simulation is also used to identify the optimal calibrator concentration levels that minimize uncertainty at medical decision points as well as across the patient concentration level range. The Monte Carlo methodology of optimal calibrator selection presented in this paper can be extended to linear calibration measurement systems in general.

AB - The calibration of the instrument used in the analytical stage of a clinical laboratory testing process has a significant contribution to the uncertainty of the final measurement result. In this paper, we present the development of a mathematical model of the analytical stage of the serum cholesterol laboratory test that quantifies and integrates the uncertainties of the various components of the laboratory measurement system. Monte Carlo simulation is used to estimate the net uncertainty of associated with the measurement system. The model is further used to quantify the effect of uncertainty in calibration parameters on both the location and spread of the distribution of the final laboratory measurement result. In addition, the effect of the choice of calibrator concentration levels on the uncertainty of the measurement is quantified using Monte Carlo simulation. The simulation is also used to identify the optimal calibrator concentration levels that minimize uncertainty at medical decision points as well as across the patient concentration level range. The Monte Carlo methodology of optimal calibrator selection presented in this paper can be extended to linear calibration measurement systems in general.

KW - Calibration analysis

KW - Clinical laboratory measurements

KW - Monte carlo simulation

KW - Uncertainty estimation

UR - http://www.scopus.com/inward/record.url?scp=84900337370&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84900337370&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84900337370

SP - 2100

EP - 2109

BT - 62nd IIE Annual Conference and Expo 2012

PB - Institute of Industrial Engineers

ER -