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Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.

B Hur1,2, L Y Hardefeldt1, K Verspoor2,3

  • 1Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, University of Melbourne, Parkville, Victoria, Australia.

Australian Veterinary Journal
|June 19, 2019
PubMed
Summary
This summary is machine-generated.

Understanding antimicrobial use in Australian veterinary clinics is crucial for stewardship. VetCompass Australia used natural language processing (NLP) to analyze millions of records, revealing usage patterns with high accuracy.

Keywords:
antimicrobial resistanceantimicrobial stewardshipnatural language processingveterinary practice

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Area of Science:

  • Veterinary Medicine
  • Data Science
  • Pharmacology

Background:

  • Antimicrobial usage patterns in Australian veterinary clinics are not well understood.
  • Knowledge of these patterns is essential for effective antimicrobial stewardship programs.

Purpose of the Study:

  • To analyze and understand antimicrobial usage patterns in Australian veterinary clinics.
  • To develop and validate natural language processing (NLP) techniques for this analysis.

Main Methods:

  • Utilized VetCompass Australia, a database of medical records from 181 Australian clinics.
  • Applied natural language processing (NLP) and machine learning to analyze 4,394,493 veterinary consultation records (2013-2018).
  • Focused on free-text fields within consultation records to identify antimicrobial dispensing.

Main Results:

  • Successfully collated and analyzed a large dataset of companion animal (dogs and cats) veterinary records.
  • Developed NLP algorithms capable of identifying antimicrobial mentions in clinical records.
  • Achieved 96.7% accuracy and an F1 Score of 0.85 in matching antimicrobials, as validated by expert annotations.

Conclusions:

  • The developed NLP algorithms accurately identify antimicrobial usage in veterinary clinical records.
  • The VetCompass Australia dataset provides a valuable resource for querying and understanding antimicrobial usage patterns in companion animal practices across Australia.
  • This work supports the monitoring and implementation of antimicrobial stewardship initiatives.