Data filters allow for rapid display of specific data fields, data states, and subject populations; and also facilitates query lifecycle and review progress.
Epoch, Cohort, and Subjects
The data display can be quickly narrowed to specific subject populations by leveraging Epoch, Cohort, and Subject filters; where Epoch defines the stage of the study and Cohort defines a group of subjects within that stage.
Study Events
https://vimeo.com/434154558/868dafec5b
Filtering by Study Event displays data fields collected on a specific trial day. For example: Day 1, Day 2, Day 3, etc.
Forms
Filtering by Form displays data fields collected as part of a given data collection ‘page’ or ‘screen’. For example: Demographic, Dosing, or PK data.
Status
https://vimeo.com/434154558/868dafec5b
Status filtering facilitates visualization of data in various states (i.e. complete, incomplete, out of range, etc) and is especially useful during data cleaning efforts.
Queries
Queries can be filtered based on their status as well as based on query issuer. This allows for rapid targeting of specific queries in various states. Note that query filtering is also supported by way of a query dashboard component within the Dashboard module.
Reviews
Review progress can be tracked by filtering against review status as well as by reviewer. This allows for rapid targeting of specific data review states by various roles/departments.
Risk Based Approach
For data monitoring and review workflows, sponsors may want to know that all reviews are completed in order to trigger database locking. In some instances, study monitors may not review all forms, but apply a risk-based approach.
More information about using filters to accomplish reviews in this scenario can be found here: