Using Data Visualizations to Advance Clinical Trial Data Analytics

Authors

• M Duvenhage
• P Gumne
• G Marlow
• J Sun
• K Newell
• M Tartakovsky

Abstract

The Office of Cyber Infrastructure and Computational Biology of the National Institute of Allergy and Infectious Diseases (NIH) is developing a solution that is transforming clinical trial research databases into a Data Warehouse model with the purpose of providing various Data Visualization-, Data Analytics- and Data Repository-tools employed within the Data Warehouse to the entire Clinical Research Team (including Sponsors, Principle Investigators, clinical team members, as well as DM team members) The solution maps the clinical research database utilizing a scientific data warehouse format (currently being adapted using standard CDISC conventions) into a staging area where various data analytics visualizations are provided. The visualizations analytics currently being displayed for research trails allow for better trail management and include visualizations such as Subject Enrollment & Accural, Subject Status and Demographic data, CRF & Query statistics and AE/SAE information. Additional benefits of data visualization analytics include screen interactions that can be performed direclty on the data, visually adapting the information being displayed by chaning the input (filtering) criteria of certain data points. The biggest benefit of the solution is the ability to combining data from different research projects into the same visualizations enabling researchers to have a much better understanding of the research underway ensuring greater research effectiveness

Scientific Focus Area: Research Support Services

This page was last updated on Friday, March 26, 2021