DW4TR: A Data Warehouse for Translational Research

  • Authors:

  • Hai Hu;Mick Correll;Leonid Kvecher;Michelle Osmond;Jim Clark;Anthony Bekhash;Gwendolyn Schwab;De Gao;Jun Gao;Vladimir Kubatin;Craig D. Shriver;Jeffrey A. Hooke;Larry G. Maxwell;Albert J. Kovatich;Jonathan G. Sheldon;Michael N. Liebman;Richard J. Mural

  • Affiliations:

  • Windber Research Institute, Windber, PA, USA;InforSense Ltd., Boston, MA, USA;Windber Research Institute, Windber, PA, USA;InforSense LLC., London, UK;InforSense LLC., London, UK;Windber Research Institute, Windber, PA, USA;Windber Research Institute, Windber, PA, USA;InforSense Ltd., Shanghai, China;InforSense Ltd., Shanghai, China;InforSense Ltd., Boston, MA, USA;Walter Reed Army Medical Center, Washington, DC, USA;Walter Reed Army Medical Center, Washington, DC, USA;Walter Reed Army Medical Center, Washington, DC, USA;MDR Global, Windber, PA, USA;InforSense LLC., London, UK;Windber Research Institute, Windber, PA, USA;Windber Research Institute, Windber, PA, USA

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2011

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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.