
Gregor Munro enhanced data traceability within the tewhatuora/cinc-fhir-ig repository by introducing meta.source and meta.tag fields to FHIR resource examples and profiles, enabling correlation IDs for tracking data across profiles. He approached this by augmenting FHIR resources using FSH and updating the sushi-config.yaml file to reflect a new version, ensuring version control and configuration consistency. This work improved data provenance, auditability, and cross-profile analytics, supporting better governance. While the scope was focused and no bugs were fixed during the period, Gregor demonstrated depth in FHIR Implementation Guide development and resource augmentation, delivering targeted improvements to data governance workflows.

October 2025 highlights for tewhatuora/cinc-fhir-ig: Implemented data traceability by adding meta.source and meta.tag across FHIR resource examples and profiles to provide a correlation ID for tracking data across profiles. Updated sushi-config.yaml to reflect a new version. No major bugs fixed this month. Impact: enhanced data provenance, auditability, and cross-profile traceability, enabling easier analytics and governance. Key technologies demonstrated: FHIR resource augmentation, YAML configuration, version control.
October 2025 highlights for tewhatuora/cinc-fhir-ig: Implemented data traceability by adding meta.source and meta.tag across FHIR resource examples and profiles to provide a correlation ID for tracking data across profiles. Updated sushi-config.yaml to reflect a new version. No major bugs fixed this month. Impact: enhanced data provenance, auditability, and cross-profile traceability, enabling easier analytics and governance. Key technologies demonstrated: FHIR resource augmentation, YAML configuration, version control.
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