Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics

Area of Science:

• Biomedical Informatics
• Clinical Data Management
• Ontology Engineering

Background:

• The proliferation of common data elements (CDEs) in research and clinical applications necessitates a robust classification system.
• Efficient management and integration of CDEs are crucial for data consistency and interoperability.

Purpose of the Study:

• To develop the Clinical MetaData Ontology (CMDO) for classifying and integrating CDEs from clinical documents.
• To create tools for navigating and utilizing the CMDO for CDE management.

Main Methods:

• Applied high-level integrative modeling of clinical documents.
• Utilized the General Formal Ontology method with a five-step iterative process.
• Defined scope, identified concepts, established hierarchical relationships, developed properties, and evaluated utility.

Main Results:

• Developed CMDO with 189 concepts across 4 first-level classes (Description, Event, Finding, Procedure).
• CMDO includes 256 definitions and 459 synonyms for 139 concepts.
• Successfully annotated CDEs from HL7 templates, clinical documents, and personal health records using CMDO concepts.
• Created CMDO Browser and CMDO-enabled CDE Browser for enhanced usability.

Conclusions:

• CMDO provides a structured ontology and classification scheme for CDEs in clinical documents.
• CMDO facilitates the integration and management of CDEs from diverse research projects and clinical sources.
• The developed browsers enhance the search, sharing, reuse, and integration of CDEs.