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The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models.

Sheena GuglaniClare E LiddyAmir AfkhamRhea MitchellErin Keely
Published in: JMIR formative research (2022)
Both eConsult models had strong uptake. Use patterns varied between models, with the majority of growth occurring under BASE, but survey responses showed that both models provided similar outcomes in terms of new information offered and impact on decision to refer.
Keyphrases
  • cross sectional
  • healthcare
  • mental health
  • electronic health record
  • machine learning
  • metabolic syndrome
  • adipose tissue
  • deep learning
  • decision making