Biomedical Informatics

Overview

The Biomedical Informatics (BI) Core is the principal informatics provider for clinical and translational research at UIC. The core provides the informatics infrastructure, clinical research data tools, and biomedical informatics services essential to the translation of research from bench to bedside to community and back again.

The BI Core has the capacity to support the work of large teams as well as individual investigators and offers consultative services that include the best and appropriate use of clinical data, project planning, study recruitment, retrospective and prospective EMR data pulls, and the development of tools for informatics-intensive studies.

The BI Core also manages UIC’s Clinical Research Data Warehouse (CRDW), a research data repository that provides a single, secure, managed release point for human subjects’ data for use in research. The CRDW contains data from various sources, including the the electronic medical record (Epic), medical billing and legacy systems like Cerner.

The BI Core has been very helpful to us. The core has a a user-friendly system for data requests that have proved helpful for IRB-approved NIH-funded clinical trials.

Dr. Jerry Krishnan  |  UIC Professor of Medicine & Public Health, Associate Vice Chancellor for Population Health Sciences

The Clinical Research Data Warehouse provides access to Heading link

  • 3 BILL electronic health records

  • 260 MILL clinical events

  • 6 MILL care visits

  • > 690 THOUSAND patients

Meet the Team Heading link

Support by Project Stage Heading link

Relevant Support:

  • Informatics consultation for grant or project preparation- No IRB Required
  • Clinical Research Data Warehouse Access:
    • Cohort counts
    • Aggregate counts
  • Clinical Informatics Proposal Preparation Consultation:
    • Leverage Epic functionality in recruitment for studies
    • Patient reported outcomes in pragmatic clinical trials
    • Epic study linkages and leveraging clinical data
    • Psychiatric documentation within Epic
    • Training machine learning algorithms to predict healthcare operations outcomes
    • Leveraging metadata from human interaction with digital technologies (e.g., mobile phones, Epic) to understand user performance and its correlates
  • N3C Data Enclave consultation (in conjunction with Biostatistics)
  • Letter of Support
  • Memorandom of Understanding: Collaborate with a bioinformatician

Relevant Support:

  • Clinical Research Data Warehouse Access:
    • Initial consultation- No IRB required
    • Obtaining clinical data extracts- IRB approval required
  • N3C Data Enclave consultation (in conjunction with Biostatistics)
  • Memorandom of Understanding: Collaborate with a bioinformatician

Relevant Support:

  • Methods section review
  • Informatics consultation for subsequent project/grant