To support more personalized, value-based healthcare, Oracle  announced the introduction of 

Oracle Health Sciences Translational Research Center

, a platform that facilitates the secondary use of healthcare data for both clinical and research organizations.

Oracle Health Sciences Translational Research Center enables pharmaceutical and biotech companies, contract research organizations, as well as academic research organizations to normalize, aggregate and analyze data from numerous internal and external sources to identify new predictive biomarkers, best practices for diagnosis and treatment and more effective and safe therapies for individuals. 

A key component of the solution, Oracle Health Sciences Cohort Explorer, helps identify and aggregate patients with similar clinical attributes and puts powerful and easy-to-use analytics directly in the hands of researchers and clinicians, enabling them to be self-sufficient and timely in their analyses, while ensuring a secure foundation that delivers high levels of access control and traceability to support security and regulatory compliance requirements. 

To speed time to value and reduce IT complexity and cost, the fully integrated solution is built on Oracle’s proven life sciences and enterprise healthcare analytics solutions. These include

 Oracle Healthcare Data Warehouse Foundation

 , a comprehensive and detailed healthcare data model that ensures high quality clinical data is readily accessible to researchers, and 

Oracle Health Sciences Clinical Development Center

 , which provides detailed traceability of analysis processes, as well as comprehensive audit capabilities to facilitate regulatory compliance. 

The initial release focuses on enabling the aggregation, normalization and analysis of clinical information, such as electronic health record data.  It will help health sciences organizations gain insights into how specific patient populations respond to treatments with: 

Support for more than 300 search criteria, such as patient demographics, diagnosis, and medication

Flexible, real-time queries that enable iterative hypothesis testing essential for translational research

37 pre-built operational reports to increase efficiency

Seven pre-built dashboards and a flexible and extensible data model that enables rapid development of additional reports and views

A standardized framework that integrates and manages disparate pre-existing command-line applications, scripts and algorithms commonly used in translational research 

To ensure that the new platform meets the needs of health sciences organizations, Oracle worked closely with numerous development partners, including Merck, Roche, Erasmus University Medical Center, Inova Health System , Moffitt Cancer Center, and Oregon Health & Science University  Knight Cancer Institute.
