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Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Brian L HazlehurstCarla A GreenNancy A PerrinJohn BrandesDavid S CarrellAndrew BaerAngela DeVeaugh-GeissPaul M Coplan
Published in: Pharmacoepidemiology and drug safety (2019)
Methods that process text clinical notes show promise for improving accuracy and fidelity at identifying and classifying overdoses according to type using EHR data.
Keyphrases
  • electronic health record
  • clinical decision support
  • adverse drug
  • big data
  • smoking cessation
  • machine learning
  • artificial intelligence
  • data analysis