5 Create validation checks

Validation checks, also called edit checks, are programs designed to identify flawed data, or discrepancies (also called queries). Each one must check for a single problem and apply the same text, state, and action to each discrepancy created. Validation checks can test any combination of data that is contained in a single clinical data model. To run a validation check comparing data that originated in both InForm and a lab, create a transformation to put InForm and lab data in one clinical data model.

When you save the validation check, it creates a target table with columns corresponding to source table columns you select and a row for each discrepancy identified. Each time it runs it updates the table with new or changed data. The data in this table is displayed in the Validation Checks Listings page.

You specify whether or not a validation check automatically closes discrepancies it created when their underlying data item is updated to be valid.

• Create a validation check batch
  
• Validation checks
  
• Create a validation check
  
• Complete a validation check without a custom program
  
• Complete a validation check using a custom program
  
• Copy a validation check batch
  
• Copy a validation check
  
• Disable or enable a validation check
  
• Reorder validation checks within an ordered batch
  
• Install a validation check batch
  
• Secondary columns
  
• Run validation check batch and view run history
  
• View discrepancies created by a validation check
  
• Upgrade validation checks to synchronize with models
  
• FAQs