Fig. 3 | Scientific Data

Fig. 3

From: An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets

Fig. 3

Illustrates the three evaluation categories used to assess the RD-CDM. (1) Medical Data Granularity evaluates each section of the model, focusing on the development and clinical perspective of data elements and their interrelationships. (2) Medical Reasoning and Clinical Relevance examines the RD-CDM’s impact on clinical decision-making and its applicability to specific clinical cases and research questions. (3) Interoperability and Harmonisation analyses the alignment of data elements with international standards, including labelling, data types, terminology binding, and value sets, while discussing advantages, limitations, and challenges in achieving interoperability. This structured evaluation provides insights into the clinical significance, limitations, and future challenges of the RD-CDM.

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