Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID:

Abstract

OBJECTIVE: Standards such as the Logical Observation Identifiers Names and Codes (LOINC®) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to standards, clinical data cannot be harmonized, shared, or interpreted in a meaningful context. We sought to develop an automated machine learning pipeline that leverages noisy labels to map laboratory data to LOINC codes.

Authors

  • Sharidan K Parr
    Geriatric Research Education and Clinical Center (GRECC), Tennessee Valley Health System Veterans Administration Medical Center, Nashville, Tennessee, USA.
  • Matthew S Shotwell
    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Alvin D Jeffery
    Alvin D. Jeffery is a medical informatics fellow at the US Department of Veterans Affairs, Tennessee Valley Health-care System, Nashville, Tennessee, and a postdoctoral research fellow, Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee. Mary S. Dietrich is a professor of statistics and measurement, Schools of Medicine (Biostatistics, Vanderbilt-Ingram Cancer Center, Psychiatry) and Nursing, Vanderbilt University. Daniel Fabbri is an assistant professor, Department of Biomedical Informatics, Vanderbilt University. Betsy Kennedy is a professor, School of Nursing, Vanderbilt University. Laurie L. Novak is an assistant professor and Joseph Coco is a senior application developer, Department of Biomedical Informatics, Vanderbilt University. Lorraine C. Mion is a professor, College of Nursing, The Ohio State University, Columbus, Ohio. alvinjeffery@gmail.com.
  • Thomas A Lasko
    Vanderbilt University School of Medicine, Nashville, TN.
  • Michael E Matheny
    Vanderbilt University School of Medicine, Nashville, TN.