Building HIPAA-Aligned Agentic Triage with Mastra
How to structure multi-agent healthcare intake with risk stratification, routing, and physician oversight — without treating clinical AI like a chatbot demo.
Healthcare triage AI fails when teams treat it as a single prompt instead of a workflow. Real clinics need structured intake, consistent routing rules, audit-friendly decision points, and escalation when risk signals appear.
In agentic triage systems, I separate concerns across agents: intake collects structured symptoms, triage applies risk logic, routing recommends specialists, and scheduling handles appointments. Each step has explicit inputs and outputs so behavior can be reviewed and improved.
Production constraints that matter early
Role-based access must gate what patients, staff, and administrators see. APIs should be encrypted and scoped. High-risk paths need physician-in-the-loop validation rather than fully autonomous decisions.
Mastra fits this model because orchestration, tool calls, and workflow state are first-class — you can build oversight layers without bolting them on after the fact.
What to measure
Track routing consistency, manual override rates, and time saved on intake — not vanity accuracy on synthetic prompts. Doctor feedback loops are essential for improving triage behavior safely over time.
See the MedIQ case study for the full problem, solution, and stack breakdown.