Virtual Assistants
Automating administrative tasks with virtual assistants.
Discover how AI is transforming primary care in our new digital health hub!
From automation to what’s next
Our Automates program, built on Robotic Process Automation (RPA), has now been sunset and is no longer being offered or maintained.
This work helped us deeply understand the realities of administrative burden in primary care and the importance of designing solutions that fit naturally into clinical workflows. Those lessons remain central to how we approach innovation today.
As technology has evolved, so too has our focus. We are continuing to explore new approaches to workflow automation and clinical support, including emerging AI-enabled solutions.
For transparency and learning purposes, we continue to share information about our previous Virtual Assistants program below. While these tools are no longer active, they reflect important design insights that continue to inform our current and future work.
If you are facing a workflow challenge or have an idea for improving care delivery through technology, we welcome the opportunity to hear from you.
Why we created virtual assistants
Speed & efficiency
Our virtual assistants were up to 6 times faster than manual labour, allowing clinicians to dedicate more time to patient care and higher-value tasks, helping to ease the heavy workload and reduce stress.
Proactive care & population health
Virtual assistants enabled data in clinical systems to be leveraged for proactive care interventions and population health management – without extra administrative effort, ensuring better outcomes for patients.
Reducing clinician burnout
By automating administrative tasks, virtual assistants helped alleviate the administrative burden on clinicians, reducing the risk of burnout. With virtual assistants taking on tedious work, clinicians could focus on what really matters: delivering care.
An overview of our virtual assistants
Poppy
Poppy is a population health management virtual assistant that identifies patients overdue for cancer screenings, stratifies them into priority groups, and automatically initiates follow-up actions to ensure timely care.
Bernie
Bernie helped improve patient outcomes by identifying missed billing opportunities—starting with diabetes codes—and automated lab requisition generation and follow-ups for patients needing lab work.
Cody
Cody cleaned up and standardized patient data, enabling healthcare teams to use this information for more proactive care and easier management of patients with one or more conditions.
Sharon
Sharon facilitated the seamless sharing of care plans between EMRs and the provincial repository, ensuring that all members of a patient’s care team had access to the same information in real-time.
Interested in exploring how to incorporate newer AI technologies into the same processes?
We’d love to connect with you! Feel free to reach out below.
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