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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Related Experiment Video

Updated: Sep 21, 2025

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How One eConsult Service Is Addressing Emerging COVID-19 Questions.

Clare Liddy1, Jatinderpreet Singh2, Rhea Mitchell2

  • 1From Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada (CL, JS); C.T. Lamont Primary Health Care Research Centre, Bruyère Research Institute, Ottawa, Ontario, Canada (CL, SG, JS); Ontario eConsult Centre of Excellence, Ottawa, Ontario, Canada (CL, RM, SG, and EK); Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada (EK); Division of Endocrinology/Metabolism, The Ottawa Hospital, Ottawa, Ontario, Canada (EK). cliddy@uottawa.ca.

Journal of the American Board of Family Medicine : JABFM
|May 31, 2022
PubMed
Summary
This summary is machine-generated.

eConsult rapidly adapted for COVID-19 care, with most cases addressing vaccine questions. This digital health solution provided timely specialist advice, often avoiding the need for patient referrals.

Keywords:
Cross-Sectional StudiesFamily MedicineHealth Services AccessibilityOntarioPandemicsPatient CarePrimary Health CareTelemedicineeConsult

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Area of Science:

  • Digital Health
  • Public Health
  • Infectious Disease Epidemiology

Background:

  • The COVID-19 pandemic necessitated rapid innovation in healthcare delivery to ensure safe and effective patient care.
  • eConsult services enable primary care providers to obtain specialist advice remotely, reducing the need for in-person consultations.

Purpose of the Study:

  • To describe the adaptation of an eConsult service for managing COVID-19 patient care.
  • To evaluate the impact of this adapted eConsult service on patient care and healthcare resource utilization.

Main Methods:

  • A cross-sectional analysis of eConsult cases submitted to COVID-19 specialties was performed.
  • Data from October 2020 to April 2021 were analyzed for case volume, usage patterns, response times, and outcomes.

Main Results:

  • Over 2700 eConsults were submitted to COVID-19 specialties, with 71% related to vaccine inquiries.
  • The median response time was 12 hours, and 36% of cases provided new or additional actionable advice.
  • Importantly, 84% of these consultations did not necessitate a formal patient referral.

Conclusions:

  • The rapid adaptation of eConsult for COVID-19 care proved effective.
  • This model demonstrates the potential for similar adaptations in other specialty care services to improve access and efficiency.