COVID-19 – utilising near real-time electronic general practice data to establish effective care and best-practice policy
Start Date
1 July 2020
End Date
30 June 2022
Project Participants
Status: Completed
Opportunity
The COVID-19 pandemic created an urgent need for timely, reliable evidence to help governments, Primary Health Networks (PHNs), and clinicians understand how healthcare delivery was changing in general practice. Traditional reporting mechanisms could not provide the speed or granularity required to monitor evolving patterns of care, telehealth adoption, preventative screening, pathology testing, prescribing, and the effects of the pandemic on vulnerable populations. This project sought to harness near real-time electronic general practice (GP) data to provide actionable insights for policy and healthcare decision-making.
Project Objectives
The project used de-identified electronic general practice data from participating PHNs and practices, available from an innovative, secure, and comprehensive digital health platform (POLAR Explorer), to establish a near real-time reporting capability on the impacts of COVID-19. The predictive geo-spatial analytics dashboard provided data and insights to the diagnosis, treatment and medications prescribed to patients with COVID-19.
Researchers then generated evidence on the direct and indirect impacts of COVID-19 on diagnosis, treatment, medication prescribing, preventative care, pathology testing, and service utilisation, which supported clinicians, PHNs, and policymakers in responding to the pandemic.


