Independent Review

The Independent Review add-on feature is designed for trials that require more than one reader to evaluate the same imaging data, while ensuring that each reader remains blinded to the assessments of others. This option maintains the scientific integrity of the study by preventing bias and guaranteeing that each assessment is made independently.

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How Independent Review Works

When Independent Review is enabled:

• Each reader receives access to the same dataset, but only sees their own assessment forms.
• Completed assessments are stored securely and remain hidden from other readers.
• The Quality Control Manager or Project Manager can later compare results or trigger an adjudication workflow if discrepancies are identified.

Readers will not be aware of the progress or conclusions made by their peers, ensuring complete independence in data evaluation.