Unlock the Benefits of Artificial Intelligence (AI) in Primary Care
AI is increasingly being integrated into Canadian primary care settings to enhance efficiency, improve patient outcomes, and reduce administrative burden. In the current state of AI in healthcare, key trends include:
- Optimizing workflows and reducing clinician burden
- Enhanced diagnostic accuracy and early detection
- Creating personalized treatment recommendations
- Improving patient experience, engagement and access to care
- Preventative care and risk profiling
- Population health management
Artificial Intelligence (AI)
AI tools are transforming digital health by streamlining workflows, reducing administrative burden, and enabling more accurate, timely care. From ambient scribes that document clinical encounters to predictive analytics that support decision-making, these technologies help teams work smarter.
AI Scribes
AI scribes are transforming digital health by documenting clinical encounters in real time, easing the burden of manual charting. By streamlining workflows and improving accuracy, they allow clinicians to spend more time with patients and less on paperwork.
AI Triage & Reception
AI triage tools help streamline patient intake by quickly assessing symptoms and directing individuals to the appropriate level of care. They reduce bottlenecks, improve response times, and support more efficient use of clinical resources.
AI Inbox Management
AI Inbox Management helps clinicians manage the growing volume of messages, documents, and patient inquiries by using artificial intelligence to sort, route, and prioritize communications. These tools simplify processes, reduce administrative burden, and ensure important items are addressed promptly.
Digital Twins
Digital Twin technology creates a real-time, standardized profile of each patient using existing EMR data, making key clinical information easier to access and act on. It helps clinicians quickly identify care gaps, spot overdue interventions, and support complex care planning without searching through scattered chart notes.
Agentic AI
Agentic AI augments human capabilities by taking on routine and complex tasks, helping healthcare providers focus more on patient care. It supports a range of clinical and operational functions, from personalized treatment planning to predictive analytics. As these tools evolve, they promise to improve access, reduce costs, and support a better work-life balance for healthcare professionals.
Clinical Decision Support
Clinical Decision Support (CDS) tools use real-time data, clinical guidelines, and patient information to assist healthcare providers in making informed decisions. They offer timely alerts, reminders, diagnostic support, and evidence-based recommendations at the point of care.
When should you use AI for your practice?
Knowing when to use AI in your practice starts with understanding where it can add the most value. Begin by identifying the specific points in your primary care workflow that could benefit from added support, whether that’s reducing documentation time, improving patient triage, managing inbox communications, or enhancing clinical decision-making. Reviewing your current tools, processes, and team responsibilities can help clarify where gaps exist and set a useful baseline for measuring the long-term impact of any AI solution you adopt.
Our framework is designed to guide clinicians and healthcare organizations through this process safely and effectively. It helps you assess whether an AI tool is the right fit for your needs or if a non-AI alternative might be more appropriate. With a clear, step-by-step structure, the framework supports decision-making that prioritizes both safety and clinical relevance. Download our AI Framework guide to learn how to evaluate and implement AI solutions that strengthen your primary care practice.
From Automation to AI
Carrying Forward Lessons from Robotic Process Automation into the Future of Primary Care Innovation
Primary care teams told us what they needed, and we listened. Clinicians were spending too much time on inefficient administrative tasks, and not enough time with patients. In response, we built a suite of Robotic Process Automation (RPA) tools to take on the repetitive, behind-the-scenes work, freeing up time for more proactive, patient-centered care.
Today, emerging AI technologies are pushing these possibilities even further — faster, smarter, and more scalable than ever before. We’re excited to see how AI is transforming care delivery, and we’re proud that our early RPA work laid the foundation for what’s next.
The lessons we’ve learned, from deep collaboration with primary care to designing tools that truly fit within clinical workflows, continue to guide us as we shift from automation to AI.