The use of natural language processing on narrative medication schedules to compute average weekly dose.

Journal: Pharmacoepidemiology and drug safety
PMID: 27633139

Abstract

PURPOSE: Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy dispensing data. A natural language processing tool named the SIG extractor was developed to identify and extract elements from narrative medication instructions to compute average weekly doses (AWDs) for disease-modifying antirheumatic drugs. The goal of this paper is to evaluate the performance of the SIG extractor.

Authors

  • Chao-Chin Lu
  • Jianwei Leng
  • Grant W Cannon
  • Xi Zhou
    George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
  • Marlene Egger
    University of Utah, Salt Lake City, UT, USA.
  • Brett South
    George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
  • Zach Burningham
    George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
  • Qing Zeng
  • Brian C Sauer
    Veterans Affairs Medical Center, Salt Lake City, Utah; University of Utah, Salt Lake City, Utah.

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