Why patient flow is a patient safety problem, not just an operational one

Across Canada, patient flow is commonly framed as an operational challenge: bed capacity, emergency department overcrowding, alternate level of care patients occupying acute beds and system-wide pressure. These measures matter, but they are symptoms, not causes, and they only tell part of the story.

Patient flow is a patient safety issue. And increasingly, it is a clinical leadership issue, one that clinical digital leaders must actively own.

The scale of the problem demands it. According to CIHI, in 2024–25, more than 16.1 million unscheduled emergency department visits were recorded across Canada. Half of all patients admitted from an ED spent more than 16 hours waiting, one in 10 spent more than 48 hours.

Nationally, nearly one in six hospital days is consumed by alternate level of care patients who no longer require acute care but have nowhere else to go – in Ontario alone, this equates to more than 4,000 beds occupied every day. Meanwhile, 62 percent of Canadian ED directors describe overcrowding as a major or severe problem.

When flow breaks down, harm can follow. Access block – the inability to transfer admitted patients to an appropriate inpatient bed – can force hospitals to place patients on clinically inappropriate wards where there is a bed is available.

In a recent study in the UK, off-service patients are reported to have greater than twice the length of stay compared to patients managed on their home ward. Prolonged stays can expose patients to deconditioning, infection and medication-related harm and further compound hospital capacity issues.

Fragmented transitions can create gaps in oversight and missed opportunities for early intervention. These are not abstract consequences; they are daily realities in every Canadian province and territory.

We recently published Flow: A Handbook to Creating the Right Conditions for Patient Flow, in which we observe that improving patient flow requires a combination of technology, process improvement and cultural change. Drawing on that framework, this article explores seven levers that can drive meaningful improvement: achieving interoperability within and across care settings; building system-wide visibility of patients and resources; digitising clinical workflows and decision support; reducing unwarranted clinical variation; enabling new models of care; reducing administrative burden; and embedding clinical digital leadership to make changes enduring.

Interoperability – the foundation: With more than 10 different EMR systems in use in Ontario alone and limited interoperability between provincial and territory systems, clinical information frequently fails to follow the patient. But fragmentation also occurs within hospitals, with clinical data often siloed across laboratory, radiology, pharmacy and specialty applications that were never designed to share information in real time.

Canada has begun to recognise this must change. Canada Health Infoway estimates that improved interoperability could save $2.4 billion annually.

The Connected Care for Canadians Act (Bill C-72), introduced in June 2024, and recently re-introduced in February of 2026 as Bill S-5, signalled clear legislative intent to require system interoperability and prohibit data blocking.

The Pan-Canadian Interoperability Roadmap, CA Core+ FHIR standard and PS-CA patient summary specification all confirm the direction of travel.

All healthcare leaders need to navigate multi-vendor environments. The practical question is how interoperability layers complement rather than compete with existing investments. The answer lies in platform architectures that consolidate data from disparate systems into a coherent, longitudinal view using open FHIR APIs, without requiring wholesale system replacement.

Visibility, workflows and variation: Interoperability creates the conditions for visibility, but visibility must extend beyond the patient record. Effective flow management requires real-time insight into two dimensions: the trajectory of every patient across their journey, and the availability of critical healthcare resources – most importantly staffed beds but also knowing other flow constraints such as imaging and pathology capacity.

When both views are connected, clinical and operational leaders can move from reactive to proactive capacity management across facilities and regions.

That visibility must be enabled and the value realised through digitised clinical workflows at the point of care. The goal is not simply to store information electronically, but to surface the right information to the right clinician at the right time. This includes structured documentation aligned to agreed clinical pathways, standardised assessments that surface risk early and consistent definitions of escalation and discharge readiness.

These same digitised workflows establish the data foundation for responsible AI. As the CMAJ has noted, a lack of reliable data is currently a bottleneck in developing AI technologies for healthcare. Without a standardised, interoperable data layer, AI risks amplifying the very fragmentation it is intended to resolve.

New models of care change the equation: Nowhere is the convergence of flow and safety more apparent than in virtual care. Globally remote patient monitoring, hospital in the home programs and virtual EDs are changing how care is delivered. The Ontario government continues to expand support for the HITH program, and programs in British Columbia and Quebec have reported positive engagement from patients.

These models shift the definition of flow. It is no longer solely about moving patients through beds; it is about maintaining clinical oversight across settings. If patients become digitally invisible once they leave the hospital, if documentation is incomplete or data does not follow them, early deterioration signals may be missed.

Without interoperability and visibility of the longitudinal record across the continuum of care, virtual care inherits the same fragmentation risks experienced in inpatient settings, potentially with greater safety consequences.

From operational metric to safety discipline: The missing lever in many digital strategies is clinical leadership itself. Patient flow remains trapped in the language of bed management and operational metrics. In reality, it is a clinical safety function, one that demands the same rigour in documentation standards, data visibility and system design as any other patient safety domain.

For healthcare leaders, this represents both an opportunity and an obligation. The clinician who understands alert fatigue, who has navigated the politics of documentation standardisation and who can bridge the gap between clinical governance and IT architecture is precisely the leader patient flow demands.

Canada is at a defining moment. The interoperability standards being developed, the legislative direction of Bill S-5 and the growing adoption of virtual care all point towards a more connected health system. But connectivity without clinical purpose is not sufficient.

Interoperability must be accompanied by platforms that translate connected data into safer clinical workflows, more reliable patient journeys and the conditions for AI to augment decision-making responsibly.

Patient flow, once measured in beds and wait times, is increasingly best understood as the ability to maintain safe, continuous oversight across the entire care pathway. When designed as a safety function, digital investment stops being about technology and starts being about outcomes.

To learn how Alcidion’s Miya Precision platform can support safer patient flow across your health system, connect with our team at Digital Health Canada ON26 on 19 March 2026, or reach out at info@alcidion.com.