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Integrating Biobank Data into a Clinical Data Research Network: The IBCB Project.
Guillaume Bouzille1, Vianney Jouhet2, Bruno Turlin1
1Inserm, Univ Rennes, CHU Rennes, Inra, Laboratoire Traitement du Signal et de l'Image (LTSI-U1099), CIC-1414, Centre de Données Cliniques, Nutrition Metabolisms and Cancer (NuMeCan), The liver biobanks network, CRB-Santé, Biosit, Biogenouest, Rennes, France.
Integrating biobank and clinical data is feasible using a nationwide research network. This approach enhances sample annotation quality and facilitates data sharing between hospitals for research purposes.
Area of Science:
- Biomedical Informatics
- Biobanking Technology
- Clinical Data Management
Background:
- Biobank development is hindered by challenges in obtaining high-quality sample annotations from patient clinical information.
- Effective integration of clinical data is crucial for advancing biobank utility and research capabilities.
Purpose of the Study:
- To evaluate the feasibility of a nationwide clinical data research network for improving biobank sample annotation.
- To assess the integration of biobank data with existing hospital IT infrastructure.
Main Methods:
- Developed an infrastructure using eHOP and I2B2 technologies, integrated with legacy IT systems across three hospitals.
- Focused on data management processes and tested five expert queries related to Hepatocarcinoma.
Main Results:
- Biobank data integration was comprehensive and straightforward.
- Five out of five expert queries were successfully executed, yielding consistent results, with one query requiring unstructured data analysis.
- The scalable platform demonstrated that biobank and clinical data can be integrated and leveraged between hospitals with minimal effort.
Conclusions:
- A nationwide clinical data research network is a feasible solution for enhancing biobank sample annotation.
- Leveraging clinical or phenotyping concept extraction from free text can significantly improve sample annotation granularity.
- The project successfully demonstrated the potential for inter-hospital data sharing and utilization.
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