An LLM agent queries FHIR data using the clinician's own token. The model never holds credentials, never calls the server directly, and only sees what the asking user is allowed to see.
We also maintain a library of pre-built healthcare AI agents with strong eval sets: cohort analysis, vaccination recommendations, EMR summarization, and more. Use them as a baseline or build your own.
Talk to us about AIDefine a PHQ-9 schedule once. Fire Arrow creates Tasks on the right days, sends push notifications when they're due, and triggers alerts when scores cross a threshold.
Run a clinical trial where investigators see full PHI and sponsors see anonymized data. No export step, no second system. Property filters and identity filters do the work at query time.
Clinic A and Clinic B share one server but can never see each other's patients: not through search, not through GraphQL, not through a bug. Cross-clinic specialists get access via CareTeam, scoped to individual patients.
Model a chronic-care medication plan as a FHIR CarePlan. Fire Arrow materializes timed Tasks, fires webhooks for push notifications, and tracks completion, all from a single MedicationRequest.
We maintain a library of pre-built LLM agents, each with strong eval sets and ready to use as a baseline for your project.
Use them as-is, adapt them, or build your own agents on Fire Arrow with any framework. The library is a head start, not a lock-in.
