One the most costly and time-consuming efforts of any research project involves data abstraction and collection. When clinical data is needed, especially from the ambulatory setting, abstraction is generally a manual process even if the practice is using an EMR. Using the CINA technology, researchers can extract discrete, validated data in real-time from ambulatory clinical records.
The CINA Mapper™, a core component for data abstraction, supports a dynamic data collection process, making it simple for researchers to add or subtract data elements as needed. As is often the case, additional questions often surface in the research process. CINA’s ability to easily capture retrospective data elements with little additional effort is second to none.
The CINA Protocol Engine™ and Point of Care Decision Support tool is also invaluable in the research setting. Having a customizable, easy-to-use process—for reminding providers to capture needed data, identifying potential research candidates, and generating data collection tools based on patient characteristics—brings research activities into the normal workflow of patient care.
DARTNet provides an example of how CINA is working closely with researchers to capture validated data elements in a federated model involving multiple provider groups with disparate EMRs. The primary study currently in process with DARTNet looks at depression management in the primary care setting. However, in addition to this study, CINA is collaborating with researchers to utilize the DARTNet patient population for studies targeting Methcillin Resistent Staph Aureus (MRSA) management, peer mentoring in diabetes, and medication adherence.
To learn more about how CINA’s offerings benefit researchers, explore the links below.