Canadian healthcare’s next challenge: turning digital capability into healthcare capacity

Canadian healthcare has spent decades building its digital foundation. Provinces, territories, health authorities, hospitals, and other healthcare organizations have invested heavily in electronic health records, virtual care, patient portals, analytics platforms, and connected-care technologies. 

Over the course of my career in healthcare and digital transformation, I have seen the conversation shift from whether an organization can implement technology to what technology makes possible once it’s in place. Does it give clinicians and staff time back? Simplify how patients access care? Give leaders better information to make decisions? Ultimately, does it create greater capacity within the health system? 

Through Healthtech’s work with organizations across Canada, we see those questions becoming more urgent as organizations confront workforce shortages, growing demand, constrained public resources, and pressure to adopt artificial intelligence. 

Every underused platform, every workflow that adds steps instead of removing them, and every dashboard that fails to influence decision-making represents capacity that Canadian healthcare leaders cannot afford to leave unrealized. 

The next phase of digital transformation must therefore focus less on implementation and more on value.  

Digital value should create capacity for care 

Healthcare organizations often measure digital programs through milestones that are easy to track, such as go-live dates, training completion, system availability, and adoption metrics. Those benchmarks matter, but they do not show whether an investment has created more capacity for care.  

The Canadian Medical Association reports that eliminating administrative burden could free up time equivalent to approximately 9,000 full-time physicians. That statistic highlights a critical opportunity. In a system where demand continues to outpace available resources, leaders should evaluate digital investments by asking: 

• Did it reduce the time required to complete the work? 
• Did it eliminate duplication, delays, or unnecessary handoffs? 
• Did it improve access without increasing strain on the workforce? 
• Did it improve care quality, safety, or decision-making? 
• Were the benefits sustained after implementation? 

Our work with a large health authority in Canada illustrates what this shift can look like in practice. The organization’s digital front door and digital twin initiatives brought together digital access, analytics, system information, and new models of patient engagement to address practical healthcare challenges. The digital front door introduced capabilities including service navigation, appointment booking, self-referral, and reminders, while the digital twin aligned information from multiple clinical systems to support predictive analytics, scenario modelling, operational monitoring, and decision support.  

Together, these initiatives demonstrate how digital investments can move beyond implementation to address challenges, making services easier to navigate and giving health system leaders better information for planning and decision-making. 

Technology creates capability, but people, processes, governance, and adoption determine whether that capability translates into better outcomes. Organizations that focus only on implementation risk overlooking the operational changes needed to realize lasting value. 

AI will expose the gaps organizations have not addressed 

Artificial intelligence has the potential to improve clinical documentation, scheduling, workforce planning, patient engagement, and administrative efficiency. The pressure to move quickly is understandable. Canadian healthcare needs more capacity, and AI may help create it. However, AI will not allow organizations to bypass the difficult work of transformation. In many cases, it will expose where that work remains unfinished. 

Fragmented information, inconsistent workflows, weak governance, unclear accountability, and uneven data maturity become more consequential as technology moves faster and influences more decisions. In my experience, one of the greatest risks is using AI to automate inefficient processes, scale inconsistent decisions, or add complexity without improving access or creating meaningful capacity. 

Before asking where AI can be deployed, leaders should first determine what workforce, operational, or access problem they are trying to solve, and how they will measure success.  

The digital front door initiative mentioned earlier offers a practical example. The starting point was not AI. It was the challenge of helping people navigate a complex health system and find appropriate care. The digital front door established a broader platform for digital access and navigation, with AI-enabled navigation later incorporated to help guide people toward appropriate services.  

The lesson is straightforward: Start with the healthcare problem and the experience you are trying to improve, then determine where AI can create meaningful value. Organizations that take this approach are far more likely to see success than those pursuing AI simply because it has become a strategic priority. 

Connected data must support connected care 

Canada has made substantial investments in health data, but information still does not move easily across providers, organizations, care settings, and jurisdictions. Research shows that only 29% of physicians can electronically share patient information with another healthcare facility, and fewer than half of Canadians report accessing some of their health information electronically. These gaps highlight how much work remains to translate digital investments into connected care and better healthcare experiences. 

Interoperability is more than a technical challenge. It affects continuity of care, workforce efficiency, capacity planning, patient experience, and the responsible adoption of AI.  

The digital twin initiative demonstrates why connecting information matters. By bringing together data from multiple clinical and operational systems, it provided greater insight into patient journeys across care settings.  Rather than just adding more data, the initiative was designed to make information more useful for understanding how people access services and supporting clinical, operational, and planning needs.  

The goal of any data investment should be to get trusted, useful information to the right people at the right time. If leaders cannot identify the clinical, operational, or system-level decision that an investment will help improve, they risk producing more information without creating more insight. 

Value realization must become a leadership discipline 

Too often, benefits realization is discussed during business-case development and revisited only after implementation. That approach is no longer sufficient. 

Our work with a Canadian healthcare organization undertaking a major clinical systems transformation demonstrates why value should be considered well before go-live. Healthtech supported the transformation from early strategy through implementation. The project included evaluating the clinical information environment, developing a digital strategy and business case for a new hospital information system, creating a benefits-realization framework, assessing shared-system options, and guiding implementation. Value was considered throughout the investment and transformation journey, rather than treated solely as something to assess once implementation was complete. 

Before approving a new investment, leaders should be able to answer five questions: 

1. What specific problem are we solving? 
2. What improvement do we expect to see? 
3. How will we measure success? 
4. Who owns the outcome after implementation? 
5. What will we change if the expected benefits do not materialize? 

These questions help shift accountability beyond project delivery and toward meaningful organizational outcomes. In a publicly funded healthcare environment, that distinction matters. Every investment competes for limited resources, workforce attention, and leadership capacity. 

Organizations that consistently realize value from digital investments treat benefits realization as an ongoing leadership responsibility. It begins with the investment decision and continues through implementation, optimization, and day-to-day operations. 

Achieving meaningful value requires the right technology, leadership accountability, strong governance, workforce engagement, and a sustained commitment to optimization. 

Canada’s next digital divide will be defined by the capacity to create value 

Canada’s next digital divide will be determined by who creates the most value from healthcare technology. Organizations that succeed will treat digital transformation not as a technology initiative, but as a capacity-building strategy. 

Across different transformation journeys, we’ve learned that implementation is only the beginning. Whether an organization is creating new digital pathways into care, implementing a major clinical platform, connecting information across systems, or preparing to adopt AI, what matters is what changes as a result.  

That means continuing to simplify workflows, strengthen adoption, improve how information is used, optimize existing capabilities, measure outcomes, and maintain clear accountability for the benefits that justified the investment. 

Digital transformation should create more time for care, stronger workforce capacity, better access, and improved outcomes for patients and communities. Those are the results that should guide every digital investment moving forward. 

Are your digital investments delivering the value you expected? Healthtech and Nordic help healthcare organizations uncover unrealized value, optimize existing investments, and turn digital capability into meaningful healthcare capacity. Schedule a conversation with a consultant to explore opportunities within your organization.