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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

https://vimeo.com/434155475/c64ad4ecb7

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

https://vimeo.com/434155436/2804cee4ef

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/434154558434154433/868dafec5b02d1d82e20

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

https://vimeo.com/434155379/bb84720abc

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

https://vimeo.com/434155316/cd39d1356f

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: