EHR De-Identification & FHIR Standardization Demo
Multi-agent system for healthcare data de-identification and FHIR bundle conversion.
Duration: 3:08Uploaded: October 21, 2025vertical
Frequently Asked Questions
Topics from this video and why governed AI matters.
A schema-identifying agent scans structure and field names (no values) to flag PII and suggest tweaks like stripping dates to years. A standardization agent takes clean data and converts it into valid FHIR bundles. The process is automated, safe, and auditable.
One agent handles schema compliance and PII mapping; the other handles transformation. Separating them keeps de-identification and standardization auditable and makes it easier to enforce HIPAA safe harbor without losing clinical value.
HIPAA Safe Harbor requires removing or generalizing 18 identifier categories—names, geographic data smaller than state, dates (except year), phone, email, SSN, medical record numbers, and similar. The SUPERWISE workflow enforces that at the field level and produces interoperable FHIR bundles ready for analytics or AI pipelines.
EHR data is messy and full of PHI. Automating de-identification and FHIR conversion with guardrails and auditability ensures you stay compliant and that downstream systems only see safe, standardized data.
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