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Evaluating the dose, indication and agreement with guidelines of antimicrobial use in companion animal practice with natural language processing.

Brian A HurLaura Y HardefeldtKarin M VerspoorTimothy BaldwinJames R Gilkerson
Published in: JAC-antimicrobial resistance (2022)
Automated extraction using NLP methods is a powerful tool to evaluate large datasets and to enable veterinarians to describe the reasons that antimicrobials are administered. However, this can only be determined when the data presented in the clinical record are complete, which was not the case in most instances in this dataset. Most importantly, the dose administered varied and was often not consistent with guideline recommendations.
Keyphrases
  • clinical practice
  • primary care
  • staphylococcus aureus
  • healthcare
  • machine learning
  • electronic health record
  • high throughput