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The cancer translational research informatics platform.

McConnell P, Dash RC, Chilukuri R, Pietrobon R, Johnson K, Annechiarico R, Cuticchia AJ - BMC Med Inform Decis Mak (2008)

Bottom Line: The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop.Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data.Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes.

View Article: PubMed Central - HTML - PubMed

Affiliation: SemanticBits, Herndon, Virginia, USA. patrick.mcconnell@semanticbits.com

ABSTRACT

Background: Despite the pressing need for the creation of applications that facilitate the aggregation of clinical and molecular data, most current applications are proprietary and lack the necessary compliance with standards that would allow for cross-institutional data exchange. In line with its mission of accelerating research discoveries and improving patient outcomes by linking networks of researchers, physicians, and patients focused on cancer research, caBIG (cancer Biomedical Informatics Grid) has sponsored the creation of the caTRIP (Cancer Translational Research Informatics Platform) tool, with the purpose of aggregating clinical and molecular data in a repository that is user-friendly, easily accessible, as well as compliant with regulatory requirements of privacy and security.

Results: caTRIP has been developed as an N-tier architecture, with three primary tiers: domain services, the distributed query engine, and the graphical user interface, primarily making use of the caGrid infrastructure to ensure compatibility with other tools currently developed by caBIG. The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop. Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data.

Conclusion: Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes.

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Related in: MedlinePlus

Example Advanced Interfacing, depicting the potential complexity of distributed queries.
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Figure 4: Example Advanced Interfacing, depicting the potential complexity of distributed queries.

Mentions: The "Simple Interface" was developed to target the non-technical users such as a clinician. Queries are constructed using drop-down menus to add filters, AND/OR groups, and return attributes (Figures 1 and 3). Available services are selected via a configuration file, as well as the CDEs that make up the drop-down menu items for filters and return attributes. Joins across these services are performed using common identifiers. Specifically, in caTRIP, we use the (optionally) deidentified Medical Record Number (MRN) of patients to join and aggregate data. The data models of the underlying services are composed of potentially complex classes, attributes, and associations between the classes (see Figure 4). In order to construct queries that span multiple classes and associations, the Simple Interface leverages a configuration file that describes the outbound path from each class to the MRN, as well as the inbound path to each filterable/returnable CDE. This enables the automated logic that would normally be performed by a user manually selecting all of the associations necessary to perform a query.


The cancer translational research informatics platform.

McConnell P, Dash RC, Chilukuri R, Pietrobon R, Johnson K, Annechiarico R, Cuticchia AJ - BMC Med Inform Decis Mak (2008)

Example Advanced Interfacing, depicting the potential complexity of distributed queries.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2626590&req=5

Figure 4: Example Advanced Interfacing, depicting the potential complexity of distributed queries.
Mentions: The "Simple Interface" was developed to target the non-technical users such as a clinician. Queries are constructed using drop-down menus to add filters, AND/OR groups, and return attributes (Figures 1 and 3). Available services are selected via a configuration file, as well as the CDEs that make up the drop-down menu items for filters and return attributes. Joins across these services are performed using common identifiers. Specifically, in caTRIP, we use the (optionally) deidentified Medical Record Number (MRN) of patients to join and aggregate data. The data models of the underlying services are composed of potentially complex classes, attributes, and associations between the classes (see Figure 4). In order to construct queries that span multiple classes and associations, the Simple Interface leverages a configuration file that describes the outbound path from each class to the MRN, as well as the inbound path to each filterable/returnable CDE. This enables the automated logic that would normally be performed by a user manually selecting all of the associations necessary to perform a query.

Bottom Line: The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop.Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data.Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes.

View Article: PubMed Central - HTML - PubMed

Affiliation: SemanticBits, Herndon, Virginia, USA. patrick.mcconnell@semanticbits.com

ABSTRACT

Background: Despite the pressing need for the creation of applications that facilitate the aggregation of clinical and molecular data, most current applications are proprietary and lack the necessary compliance with standards that would allow for cross-institutional data exchange. In line with its mission of accelerating research discoveries and improving patient outcomes by linking networks of researchers, physicians, and patients focused on cancer research, caBIG (cancer Biomedical Informatics Grid) has sponsored the creation of the caTRIP (Cancer Translational Research Informatics Platform) tool, with the purpose of aggregating clinical and molecular data in a repository that is user-friendly, easily accessible, as well as compliant with regulatory requirements of privacy and security.

Results: caTRIP has been developed as an N-tier architecture, with three primary tiers: domain services, the distributed query engine, and the graphical user interface, primarily making use of the caGrid infrastructure to ensure compatibility with other tools currently developed by caBIG. The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop. Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data.

Conclusion: Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes.

Show MeSH
Related in: MedlinePlus