Take an AI Approach to Clinical Data Management

Accelerate Data Cleaning and Query Generation

By training machine learning models on historical clinical data, with the goal of predicting data discrepancies and streamlining query management, clinical trial sponsors and CROs can significantly improve the manual data review process.

Learn how Saama’s Smart Data Quality automates and accelerates your data management processes, so you can instantly answer questions like these:

Is a concomitant medication consistent with an AE term?
Are duplicate medications given for the same condition?
Are related AEs of the same toxicity?
Are AE terms linked to non-drug treatments?

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AI-Based Clinical Data Review

Accelerate Data Cleaning and Query Generation

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