Biomedical Informatics (BMI)

Overview and Objectives: The Delaware Valley Resource for Biomedical Informatics (DVR-BMI) recognizes that its role is not only to apply biomedical informatics to facilitate T1 and T2 translational research (the familiar bench-to-bedside paradigm and clinical research), but also to focus on the support of T3 translational research, and practice-based research into the dissemination of research findings into day-to-day clinical care. Biomedical informatics approaches to be deployed for T1 and T2 translational research support include the creation of federated research data warehouses and biospecimen annotation databases, the deployment of recognized research electronic data capture systems, and a novel translational bioinformatics resource for the analysis of "omics" data generated from Delaware Valley Institute for Clinical and Translational Science (DVICTS) systems biology studies. We will also leverage the unique data source presented by the Delaware Health Information Network (DHIN). These resources will be developed in keeping with the external interoperability, communication, data security, and human subjects protection requirements mandated by the CTSA program. Compliance with CTSA biomedical informatics goals will be achieved, for example, by deploying the Informatics for Integrating Biology and the Bedside (i2b2) framework for our data warehouse, and the REDCap (Research Electronic Data Capture) applications for acquiring study data. DVR-BMI support for DVICTS T3 translational research will require innovative informatics strategies. These strategies will include providing T3 researchers with the opportunity to study community-based translational research information communication by providing a Clinical and Translational Science Patient Registry data mart, developing an innovative Translational Research Automated Communication System (TRACS), and the deployment of Personal Health Records (PHRs), including the portal offered by Google Health. While the DVR-BMI will interact with all DVICTS units, it will particularly work with Biostatistics, Epidemiology, and Research Design (DVR-BERD), Novel Clinical and Translational Methods (DVR-NCTM), Community Engagement in Research (DVR-CER), and Regulatory Knowledge and Ethics (DVR-RKE) to support their projects.

To accomplish these goals of the DVR-BMI, we have identified 3 specific transformational objectives and associated enabling strategies:
  • Objective 1: Transform the clinical and scientific data and biospecimen resources at DVICTS institutions into an integrated, interoperable, regional informatics resource that can support projected clinical and translational science activities


  • Objective 2: Close the translational research loop by enabling the participation of community physicians and populations in clinical and translational research while innovatively facilitating interaction between DVICTS investigators and community target audiences, utilizing best practices to secure data and protect participant privacy


  • Objective 3: Provide educational and mentoring opportunities in clinical and translational science informatics for undergraduate, graduate, and professional students as well as for community physicians and other healthcare professionals