​​Interoperable Harmonized Data Model for Colorectal and Lung Cancers​

Data mapping is essential for bridging heterogeneous healthcare data systems and ensuring seamless data exchange under the European Health Data Space Regulation (EHDS) [1]. This document provides guidelines for mapping data specifically for colorectal and lung cancers. The source data is the OncoBox [2], while the target is the oncology data model developed by the German Medical Informatics Initiative (MII) [3]. 

OncoBox offers data models that encapsulate clinical, diagnostic, and treatment data for specific cancer types. These models are certified by the German OnkoZert [4] association. Section 2 provides an overview of the OncoBox data model for colorectal and lung cancer, including the relationship between data entities in the UML diagram. In contrast, the German MII oncology data model was developed to standardize data across the German healthcare system. Section 3 offers an overview of this model. Note that comprehensive and in-depth description of MII oncology data model can be found in Dataspace4Health Deliverable 5.1 [5]. Finally, Section 4 outlines a mapping strategy to align OncoBox data with the German MII Oncology data model. This section compares the source data and the target data and identifies commonality and gaps in data elements for each data entity.