Learn about CRC’s Informatics resources
?sid=185">Computer Laboratory
  • Notice
    Undefined variable: PHP_SELF
    /home/http/davonly/crc/crc/informatics/index.html (line: 113)
  • ?sid=187">Poster Printing
  • Notice
    Undefined variable: PHP_SELF
    /home/http/davonly/crc/crc/informatics/index.html (line: 115)
  • ?sid=186">Informatics Links
  • Research Volunteers
  • Find a Study
  • Volunteer for a Study
  • Core Laboratory Results
  • Schedule a CRC Visit
  • CRC Calendar
  • Schedule a Pediatric CRC Visit
  • Pediatric CRC Calendar
  • View Your REDCap & REDCap Survey Projects
  • StarBRITE
  • MIS Tracking - Help Request
  • Notice
    Undefined variable: PHP_SELF
    /home/http/davonly/crc/crc/informatics/index.html (line: 149)
  • ?sid=203" style="color:navy">CRC Sharepoint
  • Research Skills Workshops
  • CRC Resources - Informatics



    CRC informatics and computing resources include:

    We are here to provide you with the informatics solution tailored to your study through the use of existing VICTR tools for electronic data collection and data management or the implementation of new solutions according to your specific needs. Please let me know if you need help defining a data collection strategy for your study, we can discuss what your specific needs are and determine the best approach to take.

    Vital Signs Data Collection


    Collection, manipulation, storage, retrieval, and classification of information recorded using vital sign monitors. Devices allow for recurrent/cyclic interventions as well as manual measurements.


    CRC Interactive Voice Response System (IVR)


    IVR software is a solution used to design and administer user-friendly automated surveys at Vanderbilt University Clinical Research Center. The tool is a secure, locally hosted solution for IVR (Interactive Voice Response) data acquisitions, providing:

    Example of survey applications:

    For over four years the Clinical Research Center has built the proficiency to host automated IVR solutions following best practices for data manipulation.