Biomedical Informatics Core
The Biomedical Informatics, Bioinformatics, and Cyberinfrastructure Enhancement Core works to transform Rhode Island's research capacity for big data health research by enabling access to electronic health data through secure, inter-institutional infrastructure.
Biomedical Informatics Core
The Biomedical Informatics, Bioinformatics, and Cyberinfrastructure Enhancement Core works to transform Rhode Island's research capacity for big data health research by enabling access to electronic health data through secure, inter-institutional infrastructure.
Core Leadership
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Liz Chen, PhD
Lead, Advance RI-CTR Biomedical Informatics Core, Interim Director, Brown Center for Biomedical Informatics, Associate Professor of Medical Science, Associate Professor of Health Services, Policy, and Practice -
Ruben G. Martinez, PhD
Co-Lead, Advance RI-CTR Biomedical Informatics Core, Assistant Professor in the Department of Psychiatry and Human Behavior at Brown University, Acting Associate Director of Brown Research on Implementation and Dissemination to Guide Evidence use (BRIDGE) program -
Neil Sarkar, PhD
Co-Lead, Advance RI-CTR Biomedical Informatics Core, President & CEO, Rhode Island Quality Institute
Specific Aims
- Promote a sustainable and extensible informatics infrastructure to support the diversity of clinical and translational research needs. BIBCE Core resources will be enhanced to support: (1) expanded Data Sharing & Analysis; (2) statewide Cohort Discovery; and, (3) a more integrated approach to Data Collection & Management.
- Develop innovative data, software, and technology solutions in collaboration with clinical and translational researchers.
- Provide state-of-the-art informatics training and engagement with clinical and translational research stakeholders.
The Biomedical Informatics support went above and beyond what we needed for computation and data storage. Having all of our data sets in one secure location strengthens our ability to house data sets with sensitive information. With this computational support, we can focus on the science that matters for improving public health.