DW4TR: A Data Warehouse for Translational Research

[Display omitted] ► An extensible patient-centric clinical data model. ► A specimen-centric molecular data model. ► A temporal data model. ► An Aggregated Biomedical-Information Browser targeting clinicians and scientists. ► An Individual Subject Information Viewer. The linkage between the clinical...

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Published inJournal of biomedical informatics Vol. 44; no. 6; pp. 1004 - 1019
Main Authors Hu, Hai, Correll, Mick, Kvecher, Leonid, Osmond, Michelle, Clark, Jim, Bekhash, Anthony, Schwab, Gwendolyn, Gao, De, Gao, Jun, Kubatin, Vladimir, Shriver, Craig D., Hooke, Jeffrey A., Maxwell, Larry G., Kovatich, Albert J., Sheldon, Jonathan G., Liebman, Michael N., Mural, Richard J.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2011
Subjects
Data Warehouse
Electronic Health Records
Humans
Medical Informatics Applications
Ontology
Patient-centric data model
Software
Translational Medical Research
Translational research
User interface
User-Computer Interface
Data Warehouse
Translational research
Patient-centric data model
Ontology
User interface
Online AccessGet full text

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Abstract [Display omitted] ► An extensible patient-centric clinical data model. ► A specimen-centric molecular data model. ► A temporal data model. ► An Aggregated Biomedical-Information Browser targeting clinicians and scientists. ► An Individual Subject Information Viewer. 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.
AbstractList 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.
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.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.
[Display omitted] ► An extensible patient-centric clinical data model. ► A specimen-centric molecular data model. ► A temporal data model. ► An Aggregated Biomedical-Information Browser targeting clinicians and scientists. ► An Individual Subject Information Viewer. 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.
Author Kvecher, Leonid
Mural, Richard J.
Correll, Mick
Schwab, Gwendolyn
Kubatin, Vladimir
Clark, Jim
Hu, Hai
Bekhash, Anthony
Gao, Jun
Shriver, Craig D.
Hooke, Jeffrey A.
Gao, De
Kovatich, Albert J.
Osmond, Michelle
Maxwell, Larry G.
Sheldon, Jonathan G.
Liebman, Michael N.
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Keywords Data Warehouse
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Patient-centric data model
Ontology
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Snippet [Display omitted] ► An extensible patient-centric clinical data model. ► A specimen-centric molecular data model. ► A temporal data model. ► An Aggregated...
The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a...
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SubjectTerms Data Warehouse
Electronic Health Records
Humans
Medical Informatics Applications
Ontology
Patient-centric data model
Software
Translational Medical Research
Translational research
User interface
User-Computer Interface
Title DW4TR: A Data Warehouse for Translational Research
URI https://dx.doi.org/10.1016/j.jbi.2011.08.003
https://www.ncbi.nlm.nih.gov/pubmed/21872681
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