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

## Artifacts Summary

This page provides a list of the FHIR artifacts defined as part of this implementation guide.

### Structures: Logical Models

These define data models that represent the domain covered by this implementation guide in more business-friendly terms than the underlying FHIR resources.

Active Surveillance | Logical model representing an active surveillance strategy in which the patient is monitored over time without active treatment, prior to disease progression. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet ActiveSurveillance).
Cancer Patient | Logical model describing the patient affected by cancer, acting as the central subject for diagnosis, treatments, disease evolution and follow-up. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet CancerPatient).
CancerConditionAtDiagnosis | Logical model representing the cancer condition at first diagnosis, capturing initial tumour characteristics and the diagnostic context that initiates the cancer journey. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet CancerConditionAtDiagnosis).
CancerStage | Logical model representing the cancer stage at the time of first diagnosis. The stage may be clinical or pathological: the clinical stage is derived from imaging evidence, while the pathological stage, when available, is derived from surgical evidence. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet CancerStage).
ClinicalCancerProgression | Logical model representing the longitudinal evolution of the cancer disease, documenting disease status and extent at a specific point in time. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet ClinicalCancerProgression).
Imaging | Logical model representing a diagnostic imaging procedure performed to define the diagnosis and the clinical stage. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet Imaging).
LastFollowUp | Logical model representing the assessment of the patient’s status at a specific follow-up visit, including vital status and evidence of disease. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet LastFollowUp).
OverallCancerTreatmentResponse | Logical model representing the overall assessment of the cancer’s response to one or more treatment episodes at a specific time point. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet OverallCancerTreatmentResponse).
Radiotherapy | Logical model representing a radiotherapy treatment course administered to the patient, including intent, timing, and anatomical target. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet Radiotherapy).
Surgery | Logical model representing a surgical treatment episode delivered to the patient for cancer management. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet Surgery).
SystemicTreatment | Logical model representing a systemic anti-cancer treatment episode delivered to the patient, either at diagnosis or following disease progression. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet SystemicTreatment).

### Structures: Resource Profiles

These define constraints on FHIR resources for systems conforming to this implementation guide.

Observation: Comorbidities | This informative profile constrains the Observation resource to represent Comorbidities for the purpose of the ECCDM. It is provided as future implementation-oriented content in this publication and is expected to evolve in subsequent iterations of this guide. This profiles is adapted from the mCode FHIR Implementation Guide
Patient (CCM) | This informative profile defines how to represent Patient in FHIR for the purpose of the ECCDM. It is provided as future implementation-oriented content in this publication and is expected to evolve in subsequent iterations of this guide.

### Example: Example Instances

These are example instances that show what data produced and consumed by systems conforming with this implementation guide might look like.

Cancer Condition at Diagnosis Example | Example cancer condition at diagnosis for a lung adenocarcinoma case.
Cancer Patient Example | Example patient record for the cancer common example scenario.
Clinical Cancer Progression 1 Example | Example clinical cancer progression showing complete remission on 2018-10-30.
Clinical Cancer Progression 2 Example | Example clinical cancer progression showing complete remission on 2019-02-28.
Clinical Cancer Progression 3 Example | Example clinical cancer progression showing complete remission on 2019-05-30.
Clinical Cancer Progression 4 Example | Example clinical cancer progression documenting loco-regional recurrence on 2019-08-31.
Clinical Cancer Progression 5 Example | Example clinical cancer progression documenting partial remission on 2020-01-02.
Clinical Cancer Progression 6 Example | Example clinical cancer progression documenting metastatic progression on 2020-04-15.
Clinical Cancer Stage Example | Example clinical TNM stage for the cancer condition at diagnosis.
ComorbidityObservation1-Example | Example comorbidity observation documenting the Charlson Comorbidity Index and associated comorbid conditions.
Imaging Example | Example magnetic resonance imaging record for the lower lobe of the lung.
Last Follow-Up 1 Example | Example follow-up with the patient alive and no evidence of disease on 2018-10-30.
Last Follow-Up 2 Example | Example follow-up with the patient alive and no evidence of disease on 2019-02-28.
Last Follow-Up 3 Example | Example follow-up with the patient alive and no evidence of disease on 2019-05-30.
Last Follow-Up 4 Example | Example follow-up with the patient alive and evidence of disease on 2019-08-31.
Last Follow-Up 5 Example | Example follow-up with the patient alive and evidence of disease on 2020-01-02.
Last Follow-Up 6 Example | Example follow-up with the patient alive and evidence of disease on 2020-04-15.
Last Follow-Up 7 Example | Example final follow-up documenting death from malignant neoplasm of bronchus and lung.
Overall Cancer Treatment Response 1 Example | Example overall treatment response documenting complete remission on 2018-10-30.
Overall Cancer Treatment Response 2 Example | Example overall treatment response documenting partial remission on 2020-01-02.
Pathological Cancer Stage Example | Example pathological TNM stage supported by the surgery example.
Patient1-Example | Example patient used in Cancer Common implementation guide examples.
Practitioner1-Example | Example practitioner acting as performer of clinical observations.
Radiotherapy Example | Example postoperative adjuvant radiotherapy treatment for the cancer condition.
Surgery Example | Example definitive surgery for the lower lobe lung cancer condition.
Systemic Treatment 1 Example | Example chemotherapy treatment following the loco-regional recurrence.

### Other

These are resources that are used within this implementation guide that do not fit into one of the other categories.

Parameters for Terminology expansion using Snomed-CT international edition | This parameter resource is used to specify the system version of international SNOMED CT to be used in the terminology service.