Printer-friendly versionTranslational research holds huge promise to drive the advancement of molecular-based diagnostics, and enable early disease detection and personalized medicine. However, the highly collaborative and multi-disciplinary nature of translational research creates multiple “systems” challenges for research organizations.
Many translational research efforts are taking scientific discoveries and applying them to a clinical context, for example, to biomarker validation studies. Clinical data must be integrated into large data sets from many sources, including collection sites, biorepositories, core technology labs, and instruments, and marshaled into the research domain.
Translational Data Management: Integrating Clinical and Research Data
There are enormous logistical challenges of study and specimen management across an enterprise, and challenges with data integration – both clinical and research data – and in integrating data from different technology systems. The missing component? Integrative translational research informatics.
GenoLogics systems are designed to interoperate, leveraging Web services APIs; data marts and reporting infrastructure; and Web portals, to share and access a wealth of information. GenoLogics also utilizes technology best practices to provide open architectures; leverages industry standard technologies and components; and works in diverse environments to connect to diverse instruments and adjunct systems, whether OSS, in-house developed, or from other vendors.
Our integrated management system for biomedical informatics can be deployed in a number of ways - centralized and federated, leveraging multiple security and deployment approaches with on-premise and Cloud Computing.
End-to-End Translational Research Data Integration
Imagine a connected research enterprise where:
• Research studies and trials connect with clinical source systems
• Biorepositories are federated and access is unified
• Core technology facilities have a common LIMS platform with automated data capture and management
• Project, biospecimen, workflow, and data generation are completely traceable across your organization
• Clinical, imaging and biomolecular data are integrated
End-to-end integrated informatics for translational research
