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).

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).

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).

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).

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).

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).

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).

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).

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).

Logical model representing a surgical treatment episode delivered to the patient for cancer management. Derived from Cancer_Common_Logical_Model_20260521.xlsx (sheet Surgery).

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).

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

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 cancer condition at diagnosis for a lung adenocarcinoma case.

Example patient record for the cancer common example scenario.

Example clinical cancer progression showing complete remission on 2018-10-30.

Example clinical cancer progression showing complete remission on 2019-02-28.

Example clinical cancer progression showing complete remission on 2019-05-30.

Example clinical cancer progression documenting loco-regional recurrence on 2019-08-31.

Example clinical cancer progression documenting partial remission on 2020-01-02.

Example clinical cancer progression documenting metastatic progression on 2020-04-15.

Example clinical TNM stage for the cancer condition at diagnosis.

Example comorbidity observation documenting the Charlson Comorbidity Index and associated comorbid conditions.

Example magnetic resonance imaging record for the lower lobe of the lung.

Example follow-up with the patient alive and no evidence of disease on 2018-10-30.

Example follow-up with the patient alive and no evidence of disease on 2019-02-28.

Example follow-up with the patient alive and no evidence of disease on 2019-05-30.

Example follow-up with the patient alive and evidence of disease on 2019-08-31.

Example follow-up with the patient alive and evidence of disease on 2020-01-02.

Example follow-up with the patient alive and evidence of disease on 2020-04-15.

Example final follow-up documenting death from malignant neoplasm of bronchus and lung.

Example overall treatment response documenting complete remission on 2018-10-30.

Example overall treatment response documenting partial remission on 2020-01-02.

Example pathological TNM stage supported by the surgery example.

Example patient used in Cancer Common implementation guide examples.

Example practitioner acting as performer of clinical observations.

Example postoperative adjuvant radiotherapy treatment for the cancer condition.

Example definitive surgery for the lower lobe lung cancer condition.

Example chemotherapy treatment following the loco-regional recurrence.

This parameter resource is used to specify the system version of international SNOMED CT to be used in the terminology service.