# Li Xinyang FHIR-Native Interoperability and Data-Quality Framework

This draft FHIR R4 Implementation Guide translates a standards-based methodology for cross-institutional clinical data exchange into machine-consumable artifacts.

## Package scope

The package contains 35 strict-at-core resource profiles, 11 registered extensions, 9 normalized source logical models, terminology artifacts, two-phase mapping artifacts, validation and quality-metric contracts, resource-level Provenance, and draft query/access contracts.

The canonical base is currently an `example.org` placeholder and SHALL be replaced before publication. All examples are synthetic. This guide does not claim a completed production deployment.

## Core architecture

1. Source ingestion and normalization.
2. Phase 1 structural mapping using StructureMap.
3. Phase 2 semantic reconciliation using ConceptMap, terminology validation, UCUM normalization, and provenance metadata.
4. R-SCH, R-REF, R-TERM, and quality-metrics collection.
5. Canonical FHIR R4 storage with Provenance and inline quality Observation resources.
6. Draft federated query and access contracts.
