The Biomedical Research Integrated Domain Group (BRIDG) Model is a domain analysis model representing protocol-driven biomedical/clinical research. It was developed to provide an overarching model that could readily be understood by domain experts and would provide the basis for harmonization among standards within the clinical research domain and between biomedical/clinical research and healthcare.


Three important streams of development have been brought together into this collaborative framework:

  • CDISC – In 2003, CDISC started constructing a Domain Analysis Model to support harmonization of their models as well as with HL7.
  • NCI – In 2004, the NCI’s caBIG initiative joined the CDISC BRIDG efforts to construct a structured protocol representation and to achieve interoperability among clinical trials research in cancer
  • In early 2005, the BRIDG model was been adopted by the HL7 RCRIM Technical Committee as the RCRIM Domain Analysis Model and is being implemented at NCI.

The model emerged from an unprecedented collaborative effort among clinical trial experts from CDISC, the US National Institutes of Health (NIH)/National Cancer Institute (NCI), the Food and Drug Administration (FDA), Health Level Seven (HL7), and other volunteers. The modeling effort is using the HL7 Development Framework (HDF).

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Further More

This structured information model is being used to support development of data interchange standards and technology solutions that will enable harmonization between the biomedical/clinical research and healthcare arenas.

The BRIDG Model serves to bridge standards, as well as organizations and various communities, including academic research institutions and pharmaceutical product development organizations and related service and technology providers. It is also bridging the gap between clinical research and healthcare.

The model is represented in the Unified Modeling Language (UML) using a software tool called Enterprise Architect. A software package named SubVersion is used for model version control.

Steve Bridge

University Researcher at On Leave
I'm a researcher specialising in microbiological data analysis, including the natural ecosystem influences and changes over time.