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Reduction of multi-dimensional laboratory data to a two-dimensional plot: a novel technique for the identification of laboratory error

  • Steven C. Kazmierczak , Todd K. Leen , Deniz Erdogmus and Miguel A. Carreira-Perpinan
Published/Copyright: June 19, 2007
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Clinical Chemistry and Laboratory Medicine (CCLM)
From the journal Volume 45 Issue 6

Abstract

Background: The clinical laboratory generates large amounts of patient-specific data. Detection of errors that arise during pre-analytical, analytical, and post-analytical processes is difficult. We performed a pilot study, utilizing a multidimensional data reduction technique, to assess the utility of this method for identifying errors in laboratory data.

Methods: We evaluated 13,670 individual patient records collected over a 2-month period from hospital inpatients and outpatients. We utilized those patient records that contained a complete set of 14 different biochemical analytes. We used two-dimensional generative topographic mapping to project the 14-dimensional record to a two-dimensional space.

Results and conclusions: The use of a two-dimensional generative topographic mapping technique to plot multi-analyte patient data as a two-dimensional graph allows for the rapid identification of potentially anomalous data. Although we performed a retrospective analysis, this technique has the benefit of being able to assess laboratory-generated data in real time, allowing for the rapid identification and correction of anomalous data before they are released to the physician. In addition, serial laboratory multi-analyte data for an individual patient can also be plotted as a two-dimensional plot. This tool might also be useful for assessing patient wellbeing and prognosis.

Clin Chem Lab Med 2007;45:749–52.


Corresponding author: Dr. Steven Kazmierczak, Department of Pathology, Oregon Health & Science University, Mailcode L-471, Portland, OR 97239, USA Phone: +1-503-494-4208, Fax: +1-503-494-8148,

Published Online: 2007-06-19
Published in Print: 2007-06-01

©2007 by Walter de Gruyter Berlin New York

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