title: DW4TR: A Data Warehouse for Translational Research.
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.
authors.affiliation: Windber Research Institute, Windber, PA 15963, USA. h.hu@wriwindber.org
authors.forename: Hai
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authors.lastname: Hu
authors.forename: Mick
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mesh_terms: D057286:Electronic Health Records; D006801:Humans; D008491:Medical Informatics Applications; D012984:Software; D057170:Translational Research, Biomedical; D014584:User-Computer Interface