Insights & Articles

Perspectives on Healthcare AI

Practical, architecture-first thinking on the problems Canadian healthcare organizations are actually trying to solve — from intake automation to AI feasibility.

AI Architecture · Featured

Architecture-First: Designing AI Systems That Endure in Healthcare

Most healthcare AI projects do not fail at the model — they fail at the architecture around it. Here is how an architecture-first approach turns promising pilots into production systems that are safe, auditable, and built to last.

8 min read
AI ArchitectureEnterprise ArchitectureGovernanceFHIRHL7
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Workflow Automation

From Fax to FHIR: Automating the Intake of Paper-Based Healthcare Systems

Fax, scanned forms, and email attachments still drive a surprising share of healthcare operations. This is a practical blueprint for turning that unstructured intake into clean, validated, interoperable data — without disrupting the people who depend on it.

9 min read

AI Strategy

Will It Actually Work? A Practical Guide to AI Use Case Feasibility

Not every problem is an AI problem, and not every AI idea is worth building. A disciplined feasibility study answers the real question before the budget is spent: should we build this, and will it hold up in production?

8 min read

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