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Validating the Emergency Department Avoidability Classification (EDAC): A cluster randomized single-blinded agreement study.

Ryan P StrumShawn MondouxFabrice I MowbrayLauren E GriffithAndrew WorsterWalter TavaresPaul MillerKomal AryalRavi SivakumaranAndrew P Costa
Published in: PloS one (2024)
The EDAC demonstrated strong evidence of criterion validity to classify avoidable ED visits. This classification has important potential for accurately monitoring trends in avoidable ED utilization, measuring proportions of ED volume attributed to avoidable visits and informing interventions intended at reducing ED use by patients who do not require emergency or life-saving healthcare.
Keyphrases
  • emergency department
  • healthcare
  • machine learning
  • deep learning
  • placebo controlled
  • double blind
  • open label
  • clinical trial
  • adverse drug
  • human health
  • electronic health record