Patient Triage Assistant
Draft triage suggestions from intake forms, with strict guardrails and clinician sign-off — an example of how we approach high-stakes, regulated workflows.
Illustrative example build — not a delivered client project. It shows the kind of problem we solve and how we'd approach it.
This is an illustrative example build, not a delivered client project. It describes a problem we're equipped to solve and how we'd approach it — with the caution a clinical setting demands.
The problem
Intake and triage take clinician time that's always in short supply. Patients submit forms with symptoms and history, and someone has to read each one, judge urgency, and decide the next step. The work is high-volume and high-stakes at the same time.
How we'd approach it
An assistant like this drafts, it never decides:
- Read structured and free-text intake information
- Draft a triage suggestion with the reasoning made explicit
- Apply strict guardrails so anything ambiguous or urgent is escalated, not auto-resolved
- Put a clinician in the loop for every decision, with the draft as a starting point
The assistant exists to save a clinician time, not to replace their judgement — and the system is designed so the safe default is always to escalate.
The stack
A language model handles the drafting, wrapped in guardrails: confidence thresholds, hard rules for red-flag symptoms, and mandatory human sign-off. In a clinical context we'd typically recommend private-cloud or on-premise deployment so patient data stays within your jurisdiction and compliance obligations.
What an engagement looks like
Regulated work moves carefully and that's correct. We'd scope the privacy and compliance requirements first — Australian Privacy Act obligations, data residency, audit trails — then build and validate against real-but-de-identified data before anything touches a live workflow.
What we'd measure
Safety first: the rate of correct escalations, agreement between the assistant's drafts and clinician decisions on a reviewed sample, and the time saved per intake. The bar for a clinical tool is higher, and the metrics reflect that.
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