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Product

fi-fhir

fi-fhir is the sensitive healthcare integration lane in the FlexInfer stack. It turns legacy clinical formats into semantic events and routable workflows, with AI-assisted development paths that can run against private FlexInfer models instead of moving healthcare data into a shared SaaS control plane.

Healthcare ETL

From legacy feeds to explainable events

Healthcare integration work usually fails in the gaps between source quirks, validation, terminology, and operations. fi-fhir makes those boundaries explicit so they can be tested in a modern AI-first IDE loop.

Source Profiles

Every feed can carry its own configuration, mappings, validation expectations, and routing behavior instead of forcing one brittle parser across all partners.

Format-agnostic ingestion

HL7v2, FHIR, CSV, EDI X12, and CDA/CCDA inputs can move toward a semantic event layer that is easier to test, explain, and operate.

Workflow routing

YAML workflow definitions and filters let integration work route events to FHIR APIs, webhooks, databases, queues, or validation-only test paths.

FHIR and terminology output

FHIR R4 resource generation and terminology mapping turn local feed quirks into cleaner downstream integration contracts.

AI-first development

Keep assistance close to the data boundary

The AI angle is specific: help engineers explain warnings, draft workflows, and search terminology while keeping private healthcare context aligned with the runtime and governance boundary.

Warning explanations

AI-assisted explanations can help developers understand parse warnings without treating opaque healthcare field names as tribal knowledge.

Workflow generation

Natural-language workflow drafting is useful when the operator knows the integration behavior but not the exact DSL shape yet.

Semantic terminology search

Meaning-based terminology search helps bridge local code systems, LOINC, RxNorm, and downstream FHIR expectations.

Stack relationship

Healthcare is the concrete private-AI proof path

FlexInfer can host the private models used for explanations or workflow drafting. Loom governs MCP, context, and agent access. MentatLab can orchestrate multi-step integration workflows as DAGs. fi-fhir supplies the domain-specific healthcare contracts that make the platform story real.