- Data Extraction -
Define, collect, and manage extracted data directly
alongside your articles and screening decisions
Define extraction questions and fields using text, numeric, or categorical inputs. Ensure consistency across reviewers and studies with a shared structure.
Automatically extract data to extraction forms using Artificial Intelligence and verified by humans using page hyperlinks and highlighted and extracted text from side-by-side displayed full-texts. This keeps data collection tied directly to source material for easy human verification.
Allow multiple reviewers to extract data independently, maintain blinding when needed, and compare outputs to resolve differences.
Add or remove questions and articles at any stage without disrupting progress, enabling flexibility as requirements change.
Apply predefined screening criteria during extraction to ensure consistency between study selection and data capture.
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