Additional Resources - Biomedical Informatics
Biomedical Informatics activities for translational research for Yale Cancer Center are coordinated by the Yale Center for Medical Informatics (YCMI) and Yale Pathology Informatics, whose activities focus broadly on the creative use of computing in clinical, neuro-, and genome informatics.
- Pre CRF design We help with electronic implementation of the protocol in the institution’s CTMS. Together we assess what would be involved in electronically setting up the different aspects of data capture; for example, study calendar, study sites, users etc.
- CRF design In conjunction with the PI, YCAS and the study coordinator, we work to define the data elements involved in the protocol including data validation and integrity. This also involves grouping them into CRFs convenient for data capture.
- Data Capture We train data entry personnel to use the CTMS and enter data based on the data capture plan.
- Data Monitoring In collaboration with the PI and the study coordinator, we generate reports that can be run on a regular basis to facilitate data monitoring.
- Retrieving data We assist study personnel to retrieve data as and when required and also generate reports for IRB submission.
Biomedical faculty from Yale Pathology Informatics, YCMI and Yale Cancer Center are working to expand the use of caTissue (an open-source component of NCI’s caBIG initiative) across the medical campus so that it can provide a standardized specimen-tracking tool to investigators that are currently maintaining their own specimen-banking operations.
YCMI, Yale Pathology Informatics and Yale’s Keck Biotechnology Laboratory have collaborated for more than a decade in building institutional infrastructure to support high-throughput genomic and proteomic research. Major initiatives include the Yale Microarray Database to store and analyze from microarray studies of gene expression, the Yale Protein Expression Database to support mass spectrometry-based proteomics research, and the Yale High-Throughput Sequencing Database to support high-throughput sequencing studies. Many laboratories within Yale and at collaborating institutions, including other CTSA sites, use these three databases.