For The Consortium

Featured Institution - August 2011

UT Southwestern Logo

UT Southwestern Logo

UT Southwestern Builds Robust Clinical Data System for Research

CTSA resources have enabled UT Southwestern Medical Center at Dallas to develop a robust data management and analysis system that helps investigators store, track and access data for clinical and translational research. This new UT Southwestern Clinical Research Information System (utCRIS) integrates data with vast amounts of information available from existing institutional systems and public data repositories, and supports the mining and analysis of integrated data sets with leading-edge algorithms and software tools.

One utCRIS component is the utCRIS-Data Warehouse (utCRIS-DW). Building on the i2b2 informatics infrastructure, biomedical informatics researchers developed extraction, transformation and loading scripts to pull, clean and normalize data from five different UT Southwestern systems, including its electronic medical record and billing systems. The result is a data warehouse that features structured data fields with records from more than 3.6 million patients, including more than 55 million diagnoses, 109 million procedures and 66 million medications.

Components of the utCRIS-DW include a Study Feasibility (SF) application for de-identified cohort information and a Chart Review (CR) application for detailed patient data evaluation. In addition to the ontology-supported drag-and-drop query interface that supports various search combinations, the SF application also supports the display of results in bar graph format with patient groups divided by various demographic characteristics. These functions enable rapid determination of the numbers and characteristics of patients eligible for research protocols. Although the CR application does not contain protected health information, its data are extremely detailed. To date, UT Southwestern has 2,419 registered users of the SF application.

UT Southwestern is now in the process of extending utCRIS-DW by: 1) incorporating clinical diagnostic lab test results; 2) standardizing diagnostic lab test data and semantic conversion into their constituent parts (e.g., analyte, specimen, value/unit pair, reference range); 3) extending medication information using the Universal Medical Language System representation of drug formulations, active ingredients, generic and brand names, and pharmacologic classification; and 4) piloting the use of natural language processing to extract structured information from text in clinical reports. Learn more. For additional information, contact Teresa Bosler.

Archive
  • August 2011: University of Texas Southwestern Medical Center at Dallas
  • July 2011: Tufts University
  • June 2011: The University of Texas Health Science Center at San Antonio
  • May 2011: Boston University
  • April 2011: University of Iowa
  • March 2011: Case Western Reserve University
  • February 2011: University of Pennsylvania
  • January 2011: The University of Utah
  • December 2010: Emory University (partnering with Morehouse School of Medicine and Georgia Institute of Technology)
  • November 2010: Northwestern University
  • October 2010: Albert Einstein College of Medicine (partnering with Montefiore Medical Center)
  • September 2010: Stanford University
  • August 2010: Washington University
  • July 2010: Weill Cornell Medical College (partnering with Hunter College)
  • June 2010: University of Colorado Denver
  • May 2010: Duke University
  • April 2010: The Ohio State University
  • March 2010: University of Michigan at Ann Arbor
  • February 2010: University of Wisconsin - Madison
  • January 2010: The University of North Carolina at Chapel Hill
  • December 2009: Indiana University School of Medicine
  • November 2009: The Scripps Research Institute
  • October 2009: University of California, Davis
  • September 2009: Vanderbilt University (partnering with Meharry Medical College)
  • August 2009: The University of Alabama at Birmingham
  • July 2009: Yale University
  • June 2009: University of Rochester School of Medicine and Dentistry
  • May 2009: Johns Hopkins University
  • April 2009: University of Iowa
  • March 2009: Mayo Clinic
  • February 2009: University of Washington
  • January 2009: University of California, San Francisco
  • December 2008: Harvard University
  • November 2008: Oregon Health & Science University
  • October 2008: University of Chicago
  • September 2008: Columbia University
  • August 2008: University of Pittsburgh
  • July 2008: The Rockefeller University