This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3390) Development and Evaluation of Research Methods, Instruments and Tools (785) eHealth Service, Product, Resource Reviews (45)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32101, first published .
The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models

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

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

Authors of this article:

Sheena Guglani1 Author Orcid Image ;   Clare Liddy1, 2, 3 Author Orcid Image ;   Amir Afkham4 Author Orcid Image ;   Rhea Mitchell3 Author Orcid Image ;   Erin Keely3, 5, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Petre J, Donald M, Jackson C. Supporting complex care in general practice via an eConsultant model of care: the Australian specialist perspective. Australian Journal of Primary Health 2023;29(5):455 View
  2. Peeters K, Reichel L, Muris D, Cals J. Family Physician–to–Hospital Specialist Electronic Consultation and Access to Hospital Care. JAMA Network Open 2024;7(1):e2351623 View
  3. Ahmad M, Chin-Yee B, Chin-Yee I, Hedley B, Hsia C, Or C. Laboratory reference intervals influence referral patterns for hemoglobin abnormalities in the Ontario virtual care system. PLOS Digital Health 2024;3(8):e0000580 View
  4. Ford C, Orr E, Hudson H, Pluta D, Zimmermann K, Pirkle J, Khare M, Garry J. Provider‐to‐provider telehealth use for obstetric services by rural practitioners: A scoping review. The Journal of Rural Health 2026;42(1) View

Conference Proceedings

  1. Wen X, Ji Y. Proceedings of the 2025 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. TCM-LearnAR: A Gamified Learning Application Based on AR and 3D Interactive Technology for Enhancing Cultural Heritage Education in Traditional Chinese Medicine View