For researchers and data analysts, CINA provides a dynamic repository of standardized data in a well-designed, easy to navigate and allows for efficient and effective data extraction and analysis. Widely used in research, the CINA's tools are routinely used for clinical data abstraction, particularly comparative effectiveness research, where real-time “samples of the whole population” allow for robust analysis at a highly granular level.

CINA is the technology partner providing the technical infrastructure for Distributed Network for Ambulatory Research in Therapeutics (DARTNet), an Agency for Healthcare Research and Quality (AHRQ) funded project.  DARTNet is a federated network of electronic health record (EHR) data repositories that allow for custom analysis and point of care data collection.  DARTNet currently has over 1 million patient lives in the federated database representing a wide range of practice settings and EMR's.  DARTNet and CINA are currently involved in a number of funded comparative effectiveness research studies. For more information about DARTNet, visit the website at www.dartnet.info.

In addition to providing a source for standardized and codified data (SNOMED, ICD9, CPT, UMLS, LOINC, etc), the robust nature of CINA’s tools create dynamic and adaptive dataset, supporting complex research and statistical analysis.