Providing semantic interoperability between clinical care and clinical research domains

Area of Science:

• Biomedical Informatics
• Health Data Standards
• Clinical Research Informatics

Background:

• Clinical research and clinical care domains operate with disconnected systems.
• Disparate standards and terminology hinder seamless data exchange.
• This disconnect slows medication innovation and drug development timelines.

Purpose of the Study:

• To describe an initial implementation of the SALUS Semantic Framework.
• To achieve interoperability between clinical research and clinical care domains.
• To enable seamless data exchange for improved clinical study efficiency.

Main Methods:

• Developed a core ontology based on the BRIDG initiative's conceptual model.
• Aligned the core ontology with clinical care/research standards and terminology systems.
• Implemented heuristic mechanisms for efficient semantic mediation within a large knowledge base (4.7 million triples).

Main Results:

• Demonstrated the feasibility of a robust and scalable semantic framework.
• Established a model of meaning for effective semantic mediation.
• The SALUS knowledge base integrates BRIDG DAM, HL7 CDA, CDISC standards, and terminology ontologies.

Conclusions:

• The SALUS Semantic Framework provides a theoretical foundation for clinical research and care interoperability.
• This approach can significantly improve the efficiency of clinical research studies.
• Enabling data exchange accelerates medication innovation and reduces time to market.