Map FHIR Fields Before Asking AI to Extract
Design an AI extraction task around FHIR-style structured resources and explicit uncertainty handling.
AI must extract referral intake data from messy free text into fields that scheduling and clinical review can use. FHIR-style extraction: define resource-like fields, allowed values, provenance, and uncertainty before prompting The common trap is asking for a polished summary and then manually re-reading it to find the fields the workflow actually needed. Define fields List fields before prompting: requested specialty, reason for referral, urgency evidence, prior procedure, contact instruction, source text, needs review. A schema turns AI from a writer into an extractor. Set allowed values Use controlled values where possible: routine, expedited, urgent, unknown; yes, no, unknown; needs_review…
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