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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
ITCBio, a Clinical and Translational Research Platform.
Jesús Moreno Conde1, Alberto Moreno-Conde2, Samuel Salas-Fernández1
1Group for Research and Innovation in Biomedical Informatics, Biomedical Engineering, and Health Economy. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital /CSIC/University of Seville, Seville, Spain.
A new informatics platform supports clinical and translational research by enabling consistent data models and reusability from electronic health records. This scalable infrastructure aids clinical trials and research projects, utilizing open-source tools and standards.
Area of Science:
- Biomedical Informatics
- Clinical Research Informatics
- Translational Science
Background:
- Clinical and translational research requires robust informatics support for data management and analysis.
- Existing systems may lack integrated functionalities for information modeling and data reusability.
Purpose of the Study:
- To design, deploy, and validate an informatics platform for clinical and translational research in Andalusia.
- To enhance data consistency, reusability, and analysis capabilities for research projects and clinical trials.
Main Methods:
- Development of a scalable infrastructure incorporating functionalities for information model definition and data reusability.
- Integration of open-software tools and adherence to standards for research process support.
- Deployment and validation within university hospitals.
Main Results:
- Successful design, deployment, and validation of the ITCBio informatics platform.
- The platform facilitates consistent information modeling and data reusability from electronic health records.
- The system is in widespread and growing use across deployed university hospitals.
Conclusions:
- The developed informatics platform effectively supports clinical and translational research processes.
- The use of standards and open-software tools enhances the platform's utility and scalability.
- The platform's adoption demonstrates its value in advancing research initiatives.
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