4 Managing Discrepancies

A discrepancy is any data that falls outside of an expected range of values or is otherwise flagged during the edit check process as an error. Examples of a discrepancy are an invalid date, an age greater than the maximum age for the study, and inconsistent information across CRFs.

RDC Onsite provides several ways for you to review, resolve, and route discrepancies.

For more information, see:

• Understanding Discrepancies and the Management Process
  
• Types of Discrepancies
  
• Discrepancy Status
  
• Finding CRFs with Discrepancies
  
• Reviewing Discrepancies
  
• Resolving and Routing Discrepancies