Why healthcare data is not an IT problem — it is a public infrastructure problem. And here is the blueprint.
A Story You Already Know
An 82-year-old woman is discharged from hospital after a fall. A homecare provider arrives the next morning — without the hospital discharge summary, without the updated medication list, without the care notes. She asks the patient what happened. The patient, still recovering, tries to reconstruct a version of what the doctors said.
A family doctor sees a patient with complex needs across four specialists. Each one has a different record. None of them talks to the others automatically. The GP spends twenty minutes of a thirty-minute appointment reconciling information that, in a connected system, would already be there.
A senior moves from one province to another to be closer to family. Their health record does not follow them. They start over.
These are not edge cases. They are the daily experience of a publicly funded healthcare system that cannot see itself.
Canada did not fail to digitize healthcare. It failed to connect it.
This is not a technology problem. The technology exists. It is a political and governance problem — and it is solvable. But only if we stop treating it like an IT project and start treating it like public infrastructure.
The $400 Billion System We Cannot See
Canada spends over $400 billion annually on healthcare — and has almost no real-time view of what that investment is producing. The system remains fragmented across provinces, siloed across institutions, reactive rather than proactive, and coordinated manually when it is coordinated at all.
This is not just inefficient. It defines the limits of what care is possible.
A unified, pan-Canadian health data layer would change that calculus:
- Enable continuity of care across settings, providers, and provincial borders
- Support earlier intervention rather than late-stage treatment
- Unlock AI-driven insights at population scale — not just within individual institutions
Even without any other argument, this is one of the highest-return infrastructure investments available to Canada. The case stands entirely on its own.
But there is another argument — one that makes the investment not just sensible, but urgent.
The Security Argument That Sharpens Everything
The American Security Project (ASP) 2022 biosecurity report is direct: biological threats are not a public health issue — they are a core national security priority. Advances in synthetic biology are lowering the barriers to engineered pathogens faster than our response infrastructure is evolving. COVID-19 — a naturally occurring virus with real limitations — infected over 615 million people. A pathogen engineered for higher transmissibility or lethality is a qualitatively different threat. The ASP frames this not as a remote possibility but as an accelerating one.
We have built global systems to detect missiles within seconds. We have not built equivalent systems to detect emerging biological threats across populations in real time.
In healthcare, blindness is not neutral. It is expensive, inefficient, and sometimes dangerous.
A unified pan-Canadian health data system is what security professionals call dual-use infrastructure: it improves everyday care while simultaneously functioning as an early warning system — detecting anomalous patterns before a biological event is named, and enabling coordinated response across provinces without weeks of ad hoc negotiation. The same data layer that supports a family doctor today could, at scale, detect an anomalous cluster of respiratory presentations in three cities simultaneously and trigger a coordinated public health response. That is the difference between analytics and infrastructure.
We Digitized Silos. Not the System.
To be clear: Canada has made real progress. Canada Health Infoway has invested over a billion dollars in digital health infrastructure. Electronic health records exist in most provinces. Digital imaging, lab results, and prescription data are increasingly accessible — within jurisdictions. But the architecture of that investment followed the architecture of the existing system: provincial, institutional, siloed. We built digital records that live in separate rooms and cannot talk to each other across a provincial border.
Infoway’s own pan-Canadian interoperability roadmap reflects that the work of connection is still ahead of us. The Connected Care for Canadians Act is explicitly framed around mandating interoperability and prohibiting data blocking — which tells you something important: data blocking is still happening, and it still has to be outlawed. Ontario’s $3.4 billion primary care commitment includes a provincewide medical record system — a serious investment that solves a provincial problem, but does not let care follow the person across the country.
Canada Health Infoway helped digitize the runway. CIHI is helping define the map. Canada still needs the operating model that turns data into continuity of care.
What This Is Not
Before describing the solution, it is worth being explicit about what it is not — because the fears are real and they need to be addressed directly.
This does not mean:
- Replacing every existing EHR system in the country
- Centralizing all health data in one giant federal database
- Weakening privacy protections or patient consent
- Handing the future of health data to one vendor or platform
- Another decade of pilots, portals, and patchwork
A modern country should not have to choose between privacy and continuity of care. It should build both. The goal is not a centralized system. The goal is a connected one.
Every Canadian should have a secure, cradle-to-grave health record that follows them across providers, settings, and provinces.
Not because of what that data might reveal — but because care that cannot see the full person cannot fully serve the person.
What Canada Actually Needs: A Four-Part Blueprint
This does not require inventing something new. It requires building the connective tissue between what already exists. Four things:
1. Mandatory interoperability standards
Canada Health Infoway has already established the pan-Canadian interoperability roadmap and the standards framework. The work now is to make adherence mandatory, not optional. Every system that receives public funding should be required to meet common data standards within a defined timeline.
2. A national health data stewardship framework
CIHI is advancing health data stewardship and a pan-Canadian governance framework for how health data is collected, shared, and used. That work needs to be elevated to the level of a national mandate — with clear rules, clear accountability, and clear protections for patients and providers alike.
3. A secure, governed exchange layer
Not another silo. Not a new federal EHR. A governed infrastructure layer — like a trusted relay network — that allows existing systems to query, share, and receive data in real time, under defined rules, with full auditability. Think of it the way we think about interbank settlement: you do not replace every bank; you build the rails that connect them.
4. Anti-data-blocking rules with enforcement teeth
The Connected Care for Canadians Act is moving in the right direction. Data blocking by health IT vendors — the practice of making interoperability technically difficult to protect market position — must be explicitly prohibited and enforced. Without this, standards alone will not be enough.
These four elements together create what Canada actually needs: a connected-care utility. Shared standards, shared rules, shared accountability — and infrastructure that lets care follow the person.
Canada’s Structural Advantage — and a Global Opportunity
Canada is uniquely positioned to build this. A single-payer public system creates institutional coherence that fragmented multi-payer systems cannot replicate. Strong federal and provincial institutions exist. The legal and governance frameworks are closer than they appear.
The opportunity goes beyond fixing Canada’s system. A unified health intelligence layer could position Canada as a model among allies — defining how modern health systems function as part of national resilience, in the same way countries collaborate on defense intelligence and cybersecurity. Canada could help build a layer of shared biological intelligence infrastructure that does not yet exist.
What Leaders Must Do Now
The diagnosis is not new. The technology is not the barrier. What has been missing is the decision to treat healthcare data the way we treat roads, electrical grids, and telecommunications: as public infrastructure that serves everyone, governed in the public interest, built to last.
That requires leadership at every level:
- Federal leadership to mandate interoperability standards and fund the exchange layer
- Provincial leadership to align behind shared governance rather than competing architectures
- Health system leaders to champion connectivity as a patient right, not a technical preference
- Technology leaders to build toward openness rather than lock-in
Canada does not need another decade of pilots, portals, and patchwork. It needs a national connected-care utility: shared standards, shared rules, shared accountability, and infrastructure that lets care follow the person.
In the twenty-first century, a country that cannot connect its healthcare data cannot truly protect its people.
The technology exists. The institutions exist. The need is undeniable.
What remains is the decision — and the leaders willing to make it.
Reference: American Security Project (2022). Biosecurity: How COVID-19 Is a Warning to Prepare Against Future Biological Threats.
https://www.americansecurityproject.org/wp-content/uploads/2022/10/Ref-0270-Biosecurity.pdf
About the Author
Robert Stanley is the Founder and CEO of Stay at Home Nursing and CHAH Technology, where he is focused on advancing Comprehensive Healthcare at Home — a model designed to shift care from reactive, institution-centric delivery toward predictive, preventative, and person-centred care delivered closer to home.
His work explores how modern data, AI, workforce redesign, and home-based care models can address many of the structural inefficiencies described in this article. A more detailed discussion of these ideas is outlined in the white paper Comprehensive Healthcare at Home: An Industry Call to Action.
