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"Take up to eight tablets per day": Incorporating free-text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology.

Meghna JaniBelay Birlie YimerDavid A SelbyMark LuntGoran NenadicWilliam Gregory Dixon
Published in: Pharmacoepidemiology and drug safety (2023)
Assumptions made during the drug preparation process, especially for those with variability in prescription instructions, can impact results of subsequent risk estimates. The developed R packages can improve transparency related to drug preparation assumptions, in line with best practice advocated by international pharmacoepidemiology guidelines.
Keyphrases
  • adverse drug
  • healthcare
  • primary care
  • drug induced
  • electronic health record
  • emergency department
  • machine learning
  • high resolution
  • mass spectrometry
  • deep learning
  • data analysis