### 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 serum albumin laboratory test that describes the measurement result as a function of various sources of uncertainty operating within the serum albumin 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 language | English (US) |
---|---|

Title of host publication | IIE Annual Conference and Expo 2013 |

Publisher | Institute of Industrial Engineers |

Pages | 2523-2532 |

Number of pages | 10 |

State | Published - 2013 |

Event | IIE Annual Conference and Expo 2013 - San Juan, Puerto Rico Duration: May 18 2013 → May 22 2013 |

### Other

Other | IIE Annual Conference and Expo 2013 |
---|---|

Country | Puerto Rico |

City | San Juan |

Period | 5/18/13 → 5/22/13 |

### Fingerprint

### Keywords

- Albumin assay uncertainty
- Instrument drift
- Measurement uncertainty

### ASJC Scopus subject areas

- Industrial and Manufacturing Engineering

### Cite this

*IIE Annual Conference and Expo 2013*(pp. 2523-2532). Institute of Industrial Engineers.

**Modeling uncertainty due to instrument drift in clinical laboratories.** / Ramamohan, Varun; Yih, Yuehwern; Abbott, Jim; Klee, George.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IIE Annual Conference and Expo 2013.*Institute of Industrial Engineers, pp. 2523-2532, IIE Annual Conference and Expo 2013, San Juan, Puerto Rico, 5/18/13.

}

TY - GEN

T1 - Modeling uncertainty due to instrument drift in clinical laboratories

AU - Ramamohan, Varun

AU - Yih, Yuehwern

AU - Abbott, Jim

AU - Klee, George

PY - 2013

Y1 - 2013

N2 - 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 serum albumin laboratory test that describes the measurement result as a function of various sources of uncertainty operating within the serum albumin 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.

AB - 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 serum albumin laboratory test that describes the measurement result as a function of various sources of uncertainty operating within the serum albumin 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.

KW - Albumin assay uncertainty

KW - Instrument drift

KW - Measurement uncertainty

UR - http://www.scopus.com/inward/record.url?scp=84900315564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84900315564&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84900315564

SP - 2523

EP - 2532

BT - IIE Annual Conference and Expo 2013

PB - Institute of Industrial Engineers

ER -