Biomedical Informatics (BMI) a multidisciplinary field stands at the crossroads of bioinformatics, computational biology, translational informatics, imaging informatics, medical informatics, and hospital informatics. It involves all aspects of management, analysis, organization and sharing of information in health care.

The Center for Biomedical Informatics focuses on Biomedical Informatics (BMI) as an Academic and as a Facilitator of a broad range of research projects and their application to evidence-based changes in the treatment and management of patients.

BMI as an Academic Discipline

Active areas of BMI research include but are not limited to:

  • Natural Language Processing to concept code medical documents and the biomedical research knowledge base.
  • Development of ontologies and controlled vocabularies to annotate biomedical data sets.
  • Algorithm creation/optimization and hardware-based acceleration for computationally untenable problems.
  • Integrating research and medical data sets using systems biology approaches to make predictions in silico.

BMI as a Facilitator

Core applications are used to handle data generated in the course of routine patient care, of patient-oriented research, and by genome-wide profiling. These applications not only store individual data sets but are syntactically and semantically interoperable and enable seamless integration two or more sources.
These applications are used to:

  • Access medical record information for research purposes.
  • Manage clinical studies information.
  • Warehouse, catalog and annotate biospecimens.
  • Store profiling data from genome-wide approaches.
  • Analyze and visualize complex data sets in order to facilitate in silico predictions that may then be validated at the bench or through patient-oriented research.