
Over six months, contributed to the tewhatuora/cinc-fhir-ig repository by designing and enhancing FHIR Implementation Guides focused on healthcare interoperability and data quality. Delivered features such as data traceability using meta.source and meta.tag, appointment and encounter model enhancements, and a patient classification extension for encounter triage. Applied FHIR standards, data modeling, and YAML configuration to align with evolving healthcare requirements and national facility ID standards. Used JavaScript and FSH to update profiles, examples, and documentation, ensuring clear traceability and compliance. Addressed both feature delivery and maintainability, supporting richer data capture, improved interoperability, and readiness for downstream integrations in health informatics.
June 2026 monthly summary for tewhatuora/cinc-fhir-ig: Delivered the Patient Classification Extension at Encounter Start and aligned interpreter alias version with the latest specifications (IMS-4100). This work improves early encounter triage, interoperability, and readiness for downstream integrations. No major bugs recorded this month. Overall impact: faster partner integrations, more consistent patient classification across encounters, and a solid foundation for upcoming spec changes. Technologies/skills demonstrated: FHIR Implementation Guide development, extension modeling, version management, and interpreter aliasing.
June 2026 monthly summary for tewhatuora/cinc-fhir-ig: Delivered the Patient Classification Extension at Encounter Start and aligned interpreter alias version with the latest specifications (IMS-4100). This work improves early encounter triage, interoperability, and readiness for downstream integrations. No major bugs recorded this month. Overall impact: faster partner integrations, more consistent patient classification across encounters, and a solid foundation for upcoming spec changes. Technologies/skills demonstrated: FHIR Implementation Guide development, extension modeling, version management, and interpreter aliasing.
March 2026 performance for tewhatuora/cinc-fhir-ig focused on DHO Encounter and DHOPatient enhancements, with targeted refactoring to balance feature delivery and maintainability. Delivered DHO Encounter with custom interaction settings, history tracking, and conditional updates, expanded DHOPatient to support multiple contained PractitionerRole instances and varied practitioner configurations, and completed a revert to the GenericCRUDInteractions template where history is no longer implemented. Introduced new DHOPatientExample variants to reflect real-world care scenarios; this work provides clearer traceability via commit history (IMS-3378) and strengthens data fidelity, interoperability, and care coordination in the FHIR IG.
March 2026 performance for tewhatuora/cinc-fhir-ig focused on DHO Encounter and DHOPatient enhancements, with targeted refactoring to balance feature delivery and maintainability. Delivered DHO Encounter with custom interaction settings, history tracking, and conditional updates, expanded DHOPatient to support multiple contained PractitionerRole instances and varied practitioner configurations, and completed a revert to the GenericCRUDInteractions template where history is no longer implemented. Introduced new DHOPatientExample variants to reflect real-world care scenarios; this work provides clearer traceability via commit history (IMS-3378) and strengthens data fidelity, interoperability, and care coordination in the FHIR IG.
February 2026 (2026-02) performance for tewhatuora/cinc-fhir-ig focused on standardization, interoperability, and richer data modeling. Delivered two main feature pillars: 1) DHO Resource Standardization and Example Updates, consolidating DHO resources and examples across profiles, references, and metadata to align with new naming conventions, facility ID standards, and relaxed rules; updated meta.source, identifier.system, meta.profile, capability statements, and several example sets. 2) Appointment Data Model Enhancements, extending the appointment data surface with participantType in AppointmentResponse and corresponding profile/structure updates to support richer, interoperable data. Additionally, implemented data-quality and compatibility improvements by removing an invariant constraint on meta.source in the DHOPatients ruleset and aligning facility IDs across documentation and examples to standards.nz values. This work reduces data quality gaps, improves downstream mappings, and supports smoother integrations with external systems. Overall impact: improved interoperability, compliance with NZ facility ID standards, clearer data modeling around appointments, and stronger documentation foundations for future standardization efforts. Technologies/skills demonstrated: FHIR IG development, FSH-driven profile and extension updates, metadata standardization, facility ID alignment, versioned capability statements, and comprehensive example/documentation updates.
February 2026 (2026-02) performance for tewhatuora/cinc-fhir-ig focused on standardization, interoperability, and richer data modeling. Delivered two main feature pillars: 1) DHO Resource Standardization and Example Updates, consolidating DHO resources and examples across profiles, references, and metadata to align with new naming conventions, facility ID standards, and relaxed rules; updated meta.source, identifier.system, meta.profile, capability statements, and several example sets. 2) Appointment Data Model Enhancements, extending the appointment data surface with participantType in AppointmentResponse and corresponding profile/structure updates to support richer, interoperable data. Additionally, implemented data-quality and compatibility improvements by removing an invariant constraint on meta.source in the DHOPatients ruleset and aligning facility IDs across documentation and examples to standards.nz values. This work reduces data quality gaps, improves downstream mappings, and supports smoother integrations with external systems. Overall impact: improved interoperability, compliance with NZ facility ID standards, clearer data modeling around appointments, and stronger documentation foundations for future standardization efforts. Technologies/skills demonstrated: FHIR IG development, FSH-driven profile and extension updates, metadata standardization, facility ID alignment, versioned capability statements, and comprehensive example/documentation updates.
December 2025 monthly summary for the tewhatuora/cinc-fhir-ig project. Focused on delivering business value through interoperability improvements. Implemented a compatibility enhancement for FHIR Encounters by adding appointment as a searchParam and searchInclude, enabling more comprehensive retrieval of encounter data related to appointments and aligning with scheduling workflows. Changes are feature-oriented with clear traceability and no reported major defects fixed this month.
December 2025 monthly summary for the tewhatuora/cinc-fhir-ig project. Focused on delivering business value through interoperability improvements. Implemented a compatibility enhancement for FHIR Encounters by adding appointment as a searchParam and searchInclude, enabling more comprehensive retrieval of encounter data related to appointments and aligning with scheduling workflows. Changes are feature-oriented with clear traceability and no reported major defects fixed this month.
Month: 2025-11 — tewhatuora/cinc-fhir-ig Key features delivered: - DHO Appointment profile: Make assigner optional (0..1). Cardinality updated from '0..0' to '0..1' to allow optional inclusion of an assigner and improve data representation in health information exchanges. Commit: b3a5fd8bb3b07e27e845dc5fcc8511d00766c5c0 (Update assigner cardinality in DHO Appointment profile to allow optional inclusion). Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Enabled richer data capture and improved interoperability for DHO Appointment resources in the cinc-fhir-ig, aligning with health information exchange goals while preserving backward compatibility. - Strengthened model accuracy and data quality for appointment resources by allowing optional assigner. Technologies/skills demonstrated: - FHIR profile modeling and cardinality adjustments (0..1) - Version control traceability (commit reference) - Health information exchange interoperability considerations
Month: 2025-11 — tewhatuora/cinc-fhir-ig Key features delivered: - DHO Appointment profile: Make assigner optional (0..1). Cardinality updated from '0..0' to '0..1' to allow optional inclusion of an assigner and improve data representation in health information exchanges. Commit: b3a5fd8bb3b07e27e845dc5fcc8511d00766c5c0 (Update assigner cardinality in DHO Appointment profile to allow optional inclusion). Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Enabled richer data capture and improved interoperability for DHO Appointment resources in the cinc-fhir-ig, aligning with health information exchange goals while preserving backward compatibility. - Strengthened model accuracy and data quality for appointment resources by allowing optional assigner. Technologies/skills demonstrated: - FHIR profile modeling and cardinality adjustments (0..1) - Version control traceability (commit reference) - Health information exchange interoperability considerations
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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