Emmanuel Ogakwu Everett, Chief Architect and CTOeMed Informatics calls this Canada’s “archipelago problem”: healthcare systems hold valuable information on digital islands that were never built to communicate. eMed builds the layer that links those islands, allowing information to move across systems, institutions and geographies without forcing healthcare organizations to replace existing technology.
“We connect digital systems that were never designed to talk to each other,” says Emmanuel Ogakwu Everett, Chief Architect and CTO.
Its vendor-neutral integration infrastructure enables hospitals, regional health networks and teleradiology providers to connect. A GE PACS can communicate with a Philips environment, a rural hospital can access studies stored in a provincial repository, and a radiologist can retrieve relevant prior exams. Clinicians gain a more complete view of a patient’s history, supporting more informed decisions.
That connectivity also raises a fundamental question: Where does the sensitive patient data moving between those systems reside?
For eMed, the answer is central to building connected care on a foundation of trust. The company migrated its platform from AWS to ThinkON, a wholly Canadian-owned cloud provider, making Canadian sovereign infrastructure a core part of its healthcare integration environment.
Sovereignty That Strengthens Connected Care
eMed handles millions of diagnostic imaging studies across Canadian hospitals and views where those studies reside as a matter of regulatory compliance, not simply a hosting decision. Foreign cloud providers can remain subject to the laws of their home jurisdictions even when data is physically stored in Canada.
ThinkON’s Canadian ownership provided a sovereign infrastructure model designed to keep agreed production data, backups and operational processes within Canada, subject to technical and contractual controls. For U.S. deployments, eMed tailors the infrastructure to the applicable jurisdiction and customer agreement.
The migration also made economic sense, providing more competitive pricing for the sustained compute and storage workloads required by healthcare imaging. Infrastructure independence is closely connected to how sensitive clinical information is governed and protected across institutions.
“We’re not a ticket number,” says Emmanuel. “We’re a partner with direct access to engineering leadership when it matters.”
eMed’s compliance architecture is designed around PHIPA, PIPEDA and applicable provincial requirements, with immutable audit trails, end-to-end encryption, role-based access and comprehensive logging.
Its radConnect routing engine provides vendor-neutral routing across imaging environments, while the eMed Gateway translates HL7v2, FHIR R4 and proprietary interfaces without requiring changes to source systems. The Smart AET repository-access platform extends that reach to more than 100 million examinations across Ontario’s provincial repositories.
Interoperability Across Healthcare Environments
eMed’s interoperability layer connects diverse healthcare systems and applications across PACS and RIS environments, using standards such as DICOM, HL7v2 and FHIR R4 to support routing, integration, archiving and tele-imaging. Its reusable integration hub allows customers to add sites or change downstream PACS and application partners without rebuilding every upstream workflow.
-
We connect digital systems that were never designed to talk to each other. The result is connected access to diagnostic information across institutions, technologies and geographies, helping clinicians see a more complete picture of their patients.
Its radConnect routing engine provides vendor-neutral routing across imaging environments, while the eMed Gateway translates HL7v2, FHIR R4 and proprietary interfaces without requiring changes to source systems. The Smart AET repository-access platform extends that reach to more than 100 million examinations across Ontario’s provincial repositories.
The Infrastructure Behind Trusted Care
Connecting systems is only part of the challenge. Healthcare organizations also need confidence that information remains accurate when systems are migrated, modernized or replaced.
A mismatched patient identifier, for example, could place the wrong study in front of a radiologist. eMed builds validation into the migration process rather than treating it as a final checkpoint. Deployments operate in parallel with existing systems, including a minimum two-week shadow period during which live studies are processed alongside the established environment. Automated validation compares outputs and flags discrepancies before production traffic is redirected. eMed reports a zero-failure record across more than 100 projects, with no patient-care disruption or data loss.
Validation extends to integration points, where DICOM conformance, HL7 message validation and FHIR resource verification help preserve data integrity. The eMed Gateway validates, normalizes and enriches information rather than simply passing messages along. Legacy data is checked for duplicate patient records, inconsistent accession numbers, orphaned studies and character-encoding issues, with problems surfaced for clinical resolution rather than silently altered.
Making AI Work Behind the Scenes
Once the underlying data and integration layer are in place, eMed embeds AI into the same workflows through its Elevate Medical platform. The platform prioritizes worklists, identifies critical findings and retrieves relevant prior studies, allowing cases to be presented according to clinical priority rather than timestamp. Radiologists remain in control of clinical interpretation and decision-making. eMed reports a 30 percent improvement in report turnaround time without workflow retraining.
“AI should be invisible infrastructure, not a visible disruption,” says Emmanuel.
AI performance is monitored using measures such as sensitivity, specificity and positive predictive value, with models subject to agreed thresholds. Models can be automatically deactivated if performance falls below those thresholds. For AI within the scope of regulated medical-device software, eMed aligns validation with applicable Health Canada requirements for Software as a Medical Device and machine-learning-enabled medical devices.
Clinical AI is kept separate from research AI, while patient imaging used in AI development and validation remains within the same Canadian infrastructure and governance framework.
Building Sustainable Telehealth Infrastructure
Connectivity becomes particularly important when specialist care is separated from patients by geography. eMed has seen telehealth initiatives operate for 18 to 24 months on grant funding before ending because the underlying infrastructure was treated as a project rather than an ongoing service.
Its response is shared infrastructure that can support multiple facilities. A Northern Ontario deployment connects 12 sites through a single integration platform, eliminating the need for each rural hospital to maintain dedicated teleradiology infrastructure. A Toronto-based network operations centre provides centralized support without requiring technical staff at every rural site.
Following an 18-hour outage at the network’s hub hospital that left six spoke sites without archive access, eMed implemented a failover architecture alongside cross-site image sharing, provincial repository access and AI-enabled teleradiology through Elevate Medical. eMed reports zero patient-care disruptions during three subsequent outages in the first year. It also reports that specialist wait times fell 30 percent, from an average of 84 days to under 59 days, while the network generated more than $1 million in annual savings from avoided transfers and achieved 99.7 percent platform uptime.
For patients in rural communities, the impact can be tangible. For an 84-year-old grandmother in Timmins, connected access to specialist imaging means avoiding a 300-kilometre ambulance ride for an imaging consultation.
That interoperability also supports GTR Teleradiology, a Canadian teleradiology provider, across more than 15 sites, including Health PEI and Newfoundland and Labrador Health System (NLHS). eMed’s infrastructure connects imaging from multiple client sites to its reading environment. Universal DICOM routing, access to patient priors and AI-assisted worklist prioritization have replaced fragmented manual workflows. New hospitals can be added in days rather than months, allowing the reading network to expand without rebuilding its underlying connectivity.
Toward National Imaging Interoperability
eMed’s experience across more than 100 projects in Canada, the U.S., Australia and the U.K. has exposed a recurring divide. Public healthcare systems often have significant interoperability needs but face longer procurement cycles, while private networks can move faster when the productivity case is immediate.
Ontario’s diagnostic imaging infrastructure illustrates the challenge. Provincial repositories already contain more than 100 million examinations, providing a foundation for province-wide access. Yet connecting individual facilities can be lengthy, involving security assessments, data-sharing agreements and change management. eMed draws on its experience to help shorten the path to connection.
That experience now informs its expansion beyond Ontario, with the company targeting new facilities in British Columbia and Alberta. As AI-assisted imaging, cross-provincial data sharing and value-based care gain traction, eMed sees growing demand for infrastructure that can identify unnecessary repeat studies, expose wait-time bottlenecks and reveal which routing configurations lead to faster reporting.
The larger goal is a national imaging interoperability layer that makes diagnostic information accessible across provincial and vendor boundaries, much like other digital clinical information.
The ability to build trusted infrastructure for connected healthcare has earned eMed Informatics recognition as the Top Digital Health Solution Provider in Canada 2026, marking its evolution from an imaging integration specialist to a broader force in connected care.
Sovereign Infrastructure and Interoperability in Canadian Digital Health
Canada has invested heavily in digital healthcare, yet patient information often remains scattered across different systems. Imaging platforms, electronic health records and telehealth services may work well on their own but cannot always exchange information. This can leave physicians making decisions without a complete picture of a patient's medical history. In a rural emergency department, for example, a doctor may be unable to retrieve diagnostic images taken hundreds of kilometers away. The delay can affect diagnosis and treatment. Healthcare organizations must also meet increasingly demanding privacy and regulatory requirements as they introduce new technology.
Connecting existing systems can help address these problems without requiring hospitals to replace everything they already use. Healthcare standards such as DICOM, HL7 and FHIR support the exchange of medical information, but systems from different vendors and institutions do not always communicate easily. Integration platforms can help bridge those gaps by translating and routing information between systems. They allow hospitals and regional networks to share clinical data while continuing to use their existing technology. The benefit is that clinicians can access information needed for patient care without having to work across several disconnected platforms.
Where patient information is stored and who can access it are equally important. Canadian healthcare organizations must consider privacy laws such as PHIPA and PIPEDA when choosing digital infrastructure. These requirements affect how patient records are managed and protected. A cloud service may store information in Canada but still be operated by a foreign-controlled company, potentially bringing it under another country's data access laws. Canadian-owned infrastructure can help organizations keep sensitive medical information under Canadian jurisdiction and give hospital leaders greater clarity about data residency and control.
Moving information from one system to another also requires care. A migration error can have consequences beyond an interrupted service. If patient records are matched incorrectly or historical information is missing, clinicians may make decisions using incomplete data. One way to reduce this risk is to run the old and new systems in parallel and compare their results before switching over. These checks help identify problems early and protect continuity of care. Privacy, compliance and data accuracy need to be considered throughout implementation, not checked only after the new system is running.
“eMed Informatics has built platforms that connect imaging systems across different vendors and healthcare institutions, allowing clinicians to access patient histories even when the information comes from another facility.”
Long-term operation is another challenge, especially for rural and regional healthcare networks. Telehealth programs may work well during their initial funding period but become difficult to maintain once that support ends. Shared infrastructure can help several facilities spread the cost of technology while continuing to provide access to specialist services. Automation can also reduce the amount of technical work required at individual locations. With centralized oversight, healthcare networks can manage systems across multiple sites without depending on each facility to maintain the same level of technical resources. This makes it easier to keep digital services running as part of everyday patient care.
eMed Informatics addresses these needs through vendor-neutral integration and Canadian-controlled infrastructure. The company has built platforms that connect imaging systems across different vendors and healthcare institutions, allowing clinicians to access patient histories even when the information comes from another facility. Its routing and gateway technologies translate between established healthcare standards, so organizations can exchange information without replacing their existing systems.
The company also uses a Canadian-owned cloud platform to support data residency and help healthcare organizations meet applicable privacy requirements. During implementation, eMed emphasizes parallel validation and ongoing checks of data integrity. This helps reduce the risk of incomplete or incorrectly transferred patient information as systems are brought together.
AI-enabled features provide additional support within existing clinical workflows, helping healthcare teams use digital tools without introducing unnecessary changes to how they work. By combining system integration, Canadian-controlled infrastructure and careful implementation, eMed Informatics helps healthcare organizations improve access to clinical information while maintaining oversight of patient data and continuity of care.
...Read more
