tewhatuora/cinc-fhir-ig
Oct 2025 – Feb 2026
4 Months active
Languages Used
FSHF#Markdown
Technical Skills
FHIRImplementation Guide Developmentdata modelinghealthcare standardsAPI DevelopmentHealthcare Standards
Gregor Munro
PROFILE
Gregor Munro
Gregor Munro developed and enhanced healthcare interoperability features in the tewhatuora/cinc-fhir-ig repository over four months, focusing on FHIR Implementation Guide development and data modeling. He introduced data traceability by adding meta.source and meta.tag fields, standardized DHO resources and examples to align with evolving facility ID and naming conventions, and improved appointment data models by updating cardinality and supporting richer participant types. Using F#, FSH, and Markdown, Gregor’s work emphasized compliance with healthcare standards, robust documentation, and seamless integration with external systems. His engineering contributions demonstrated depth in metadata standardization and rule-based system design, supporting future extensibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
5
Lines of code
18,183
Activity Months4
Your Network
24 peopleSame Organization
@tewhatuora.govt.nz7
Shared Repositories
17
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Harman PreetMember
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Jeremy WarneMember
Jules ClementsMember
Jules ClementsMember
Kyle MartinMember
Work History
February 2026
8 Commits • 2 Features
Feb 1, 2026February 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.
8 Commits • 2 Features
Feb 1, 2026February 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
December 2025
2 Commits • 1 Features
Dec 1, 2025December 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
2 Commits • 1 Features
Dec 1, 2025December 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.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 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
1 Commits • 1 Features
Nov 1, 2025Month: 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
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025October 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
1 Commits • 1 Features
Oct 1, 2025October 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.
Activity
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Quality Metrics
Correctness98.2%
Maintainability96.6%
Architecture98.2%
Performance96.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
F#FSHMarkdown
Technical Skills
API DevelopmentData ModelingData StandardsDocumentationFHIRFHIR standardsHealth InformaticsHealthcare StandardsImplementation Guide Developmentdata modelinghealthcare standardsrule-based systems
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