DW4TR: A Data Warehouse for Translational Research

J Biomed Inform. 2011 Dec;44(6):1004-19. doi: 10.1016/j.jbi.2011.08.003. Epub 2011 Aug 22.

Abstract

The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data elements involved. For a translational research environment, it is critical to make these data usable at the point-of-need. Individual systems have been developed to meet the needs of particular projects though the need for a generalizable system has been recognized. Increased use of Electronic Medical Record data in translational research will demand generalizing the system for integrating clinical data to support the study of a broad range of human diseases. To ultimately satisfy these needs, we have developed a system to support multiple translational research projects. This system, the Data Warehouse for Translational Research (DW4TR), is based on a light-weight, patient-centric modularly-structured clinical data model and a specimen-centric molecular data model. The temporal relationships of the data are also part of the model. The data are accessed through an interface composed of an Aggregated Biomedical-Information Browser (ABB) and an Individual Subject Information Viewer (ISIV) which target general users. The system was developed to support a breast cancer translational research program and has been extended to support a gynecological disease program. Further extensions of the DW4TR are underway. We believe that the DW4TR will play an important role in translational research across multiple disease types.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Electronic Health Records
  • Humans
  • Medical Informatics Applications
  • Software*
  • Translational Research, Biomedical*
  • User-Computer Interface