HL7 Europe Common Cancer Model
1.0.0-ballot - ballot 150

HL7 Europe Common Cancer Model - Local Development build (v1.0.0-ballot) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions

## Authors and Contributors

The HL7 Europe Cancer Common Data Model (ECCDM) Implementation Guide is the result of collaboration across HL7 Europe, European projects, oncology institutions, research organisations, vendors, implementers, and a community of volunteers.

The work is community-driven and brings together complementary perspectives on cancer data modelling, clinical oncology, research, interoperability, and technical implementation.

### Major Contributors and Their Roles

- HL7 Europe provides the project-agnostic collaboration framework for developing the guide and supports the technical and administrative activities related to HL7 Europe Implementation Guides.
- The HL7 Europe volunteer community contributes domain knowledge, modelling experience, implementation feedback, review, and editorial work.
- European projects contribute requirements, use cases, and modelling experience developed in the context of specific cancer-related initiatives.
- Oncology centres and clinical experts provide the medical background needed to ensure that the model reflects clinically meaningful cancer concepts and patient journey patterns.
- Cancer research centres and researchers contribute expertise on the use of cancer data for research, analytics, secondary use, and cross-project reuse.
- Researchers and experts involved in national cancer registries contribute experience on cancer registration, population-level cancer data, longitudinal follow-up, and reuse of cancer information across institutions and countries.
- Vendors, solution developers, and implementers contribute practical experience from the development and deployment of oncology data solutions, interoperability services, and implementation artefacts.

This combination of perspectives is intended to support a model that is clinically meaningful, reusable across projects, and suitable for progressive implementation in different technical ecosystems.