AI for Clinical Trial Intelligence
Clinical trial data must be thoroughly described in source documents for stakeholders.
The problem is, stakeholders often manually extract and transport data from trial protocols to other electronic systems, significantly slowing down the time to market for new drugs, medical devices, and therapies.
The solution? AI-powered automation for clinical trial intelligence and data extraction.
Automation in Clinical Trials
Docugami automatically identifies key information in clinical trial protocol documents, such as objectives, endpoints, scheduled events, and more, and makes them available for e-clinical systems including EDC (Electronic Data Capture), eCRF (electronic case report form), and RTSM (Randomization and Trial Supply Management).
AI-powered automation saves time on manual data extraction during clinical studies. It also creates systems of record with data consistency, dramatically reducing the time it takes to bring new drugs and medical devices to market.