What FHIR version does this skill support?

This skill specifically targets the FHIR R4 specification, focusing on Patient and Practitioner resources for identity management.

What Python libraries are required for this migration?

The workflow utilizes fhir.resources for data modeling, httpx for the client, and SQLAlchemy for local metadata management.

Can I keep my existing SQL database alongside FHIR?

Yes, the skill is designed for a hybrid architecture where HAPI FHIR acts as the clinical source of truth while PostgreSQL handles local GDPR metadata like correlation hashes and soft deletes.

Does it support asynchronous operations?

Yes, the implementation guidance uses HTTPX for asynchronous communication with the HAPI FHIR server to ensure high-performance API responses.

FHIR Data Migration & Integration

Name: FHIR Data Migration & Integration
Author: btall

bybtall

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データベース管理

Migrates patient and practitioner data to HAPI FHIR storage using a hybrid architecture for healthcare applications.

概要

This skill provides comprehensive guidance for transitioning existing identity services to a HAPI FHIR-compliant architecture. It streamlines the implementation of async FHIR clients, Pydantic-to-FHIR resource mapping, and the creation of local PostgreSQL models for GDPR-compliant metadata. It is designed for developers building healthcare platforms that require standardized clinical data exchange (HL7 FHIR R4) while maintaining local data sovereignty for sensitive metadata and audit logs.

主な機能

2 GitHub stars
Async HTTP client implementation for HAPI FHIR interaction
Hybrid schema design for local GDPR metadata storage
Legacy data deprecation and cleanup workflows
Automated generation of Pydantic-to-FHIR resource mappers
Step-by-step service layer orchestration patterns

ユースケース

Mapping custom API models to complex FHIR Patient and Practitioner resources
Implementing HL7 FHIR R4 compliance in existing healthcare identity services
Setting up a hybrid storage model combining FHIR resources with local metadata

概要

主な機能

2 GitHub stars
Async HTTP client implementation for HAPI FHIR interaction
Hybrid schema design for local GDPR metadata storage
Legacy data deprecation and cleanup workflows
Automated generation of Pydantic-to-FHIR resource mappers
Step-by-step service layer orchestration patterns

ユースケース

Mapping custom API models to complex FHIR Patient and Practitioner resources
Implementing HL7 FHIR R4 compliance in existing healthcare identity services
Setting up a hybrid storage model combining FHIR resources with local metadata