Digital Twins in Primary Care
Making Your EMR Data Work for You
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As a primary care clinician, you rely on your EMR to support informed, timely decisions, especially when managing chronic conditions and complex patients.
But inconsistent documentation, fragmented data, and time constraints can make it difficult to get a clear picture of your patients’ health.
We’re working to change that.
In partnership with Verto Health, we are exploring how Digital Twins can help you get more out of your EMR by streamlining your workflow and enabling proactive, population-based care. Rather than searching through different parts of the chart, the Digital Twin brings what you need to the forefront.
This can save you time, reduce cognitive load, and give you the support you need to provide high-quality patient care that can lead to enhanced patient outcomes.
What is a Digital Twin?
A Digital Twin is a standardized digital or “simulated” profile of your patient, built from the data already in your EMR.
By combining structured EMR data with AI-driven Natural Language Processing, Digital Twins can extract insights from both structured and unstructured data.
The purpose of creating a twin is that it enables the organization of key clinical information in a consistent, structured format.
This enables you to quickly:
- See what’s most relevant, such as labs, diagnoses, medications, and risk factors
- Spot care gaps and overdue interventions
- Identify patients who need follow-up or adjustments to their care plan
Digital Twins can help by standardizing and structuring patient data from various sources, not only your EMR, but potentially other provincial repositories and systems. This allows you to:
Work more efficiently during patient visits
Make informed decisions in a timely manner
Take proactive action on overdue care without additional administrative burden
Support patients with complex or co-occurring conditions
Improve documentation quality for funding and quality improvement
Surface actionable insights – all from within your EMR!
Our Work with Verto: How Digital Twins Can Support Chronic Disease Management
We’re currently exploring how primary care might be able to leverage Digital Twin technology to support chronic disease management (i.e., for patients living with type 2 diabetes, including those with chronic kidney disease, and heart failure).
This technology has the potential to shift care from reactive to preventative by:
- Simulating and predicting disease progression at both the patient and population level
- Surfacing clinical concepts relevant to quality standards and guidelines
- Allowing clinicians to take proactive steps, such as making a referral or engaging care team supports
While our work remains exploratory at this time, the early promise of Digital Twin technology is its ability to support clinicians in real-time decision-making and enhance patient care.
Our goal is to increase the clinical value you get from your EMR to support large-scale interventions, all without adding to your workload.
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