Data sanitization

 

To hide sensitive patient and study demographics from specific users, configure the system to automatically sanitize the data. The system uses the Copy action and its coercion rules to sanitize the data automatically.

 

To automatically sanitize a study, perform the following steps:

  1. Create a worklist filter to identify the list of studies to be sanitized.

  2. Enable a Copy action for the filtered list.  

The procedure for setting up a user to have access to only the sanitized version of a study is as follows:

  1. Create a worklist filter identifying the list of studies you want to sanitize.

  2. Set up a Copy action on the worklist filter to automatically create a sanitized shortcut to each study. In the copy action configuration,

    1. Set the target as Worklist.

    2. Define the coercion rules to encrypt the demographic fields you want to mask. In the coercion rules, include a format to indicate the study has been sanitized, such as a unique prefix on a patient name or ID, or in a user-defined field.

  3. For each user account, create a global restriction filter using the special format applied by the coercion rules.

Users with no global restrictions applied will see both the original study and the sanitized study. Additionally, the referenced study is listed in the Shortcut or Source Study table on each study’s Quick View page.

 

To replicate the sanitization on multiple servers, including parent and child servers, duplicate the filter definition and coercion rules on each server. The copy action configuration does not automatically propagate across servers.