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Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record-Based Computable Phenotype Derivation and Validation Study.

David ChartashHyung PaekJames D DziuraBill K RossDaniel P NogeeEric BoccioCory HinesAaron M SchottMolly Moore JefferyMehul D PatelTimothy F Platts-MillsOsama M AhmedCynthia A BrandtKatherine CouturierEdward R Melnick
Published in: JMIR medical informatics (2019)
This phenotype detected emergency department patients with opioid use disorder with high predictive values and reliability. Its algorithms were transportable across health care systems and have potential value for both clinical and research purposes.
Keyphrases
  • emergency department
  • electronic health record
  • healthcare
  • adverse drug
  • clinical decision support
  • machine learning
  • deep learning
  • risk assessment
  • social media