Patient feasibility

Patient feasibility now includes patient counts for race, ethnicity, and gender.

Race, ethnicity, and gender data

With release 24.2.4, the Patient Feasibility feature (previously called Learning Health Network) returns patient race, ethnicity, and gender data. This enhancement introduces the columns listed below, which you can add to the site grid to view the estimated patient counts. If preferred, you can also add a site grid filter for any of these new columns to keep only the sites where the number of patients is more than the integer you enter in the filter.

Race

• I.E. count of American Indian or Alaska Native matching patients
• I.E. count of Asian matching patients
• I.E. count of Black or African American matching patients
• I.E. count of Native Hawaiian or Other Pacific Islander matching patients
• I.E. count of Other race matching patients
• I.E. count of Unknown race matching patients
• I.E. count of White matching patients

Ethnicity / Hispanic status

• I.E. count of Hispanic or Latino matching patients
• I.E. count of Non-Hispanic ethnicity matching patients
• I.E. count of Unknown ethnicity matching patients

Gender

• I.E. count of Female matching patients
• I.E. count of Male matching patients
• I.E. count of Other or Unknown gender matching patients

To provide consistent column names, we also renamed the existing “LHN patient count” column to “I.E. count of matching patients” with this release.

By design, if your study's feasibility inclusion/exclusion criteria are updated after you've added patient count data columns to the site grid, the columns will be nulled in the user interface pending an updated response from the feasibility integration. Return time for the results varies from a few minutes to over 20 minutes depending on the complexity of the criteria set. If the feasibility integration returns no data for a column for a matching site grid site, the related site grid column will show null data. This is expected behavior.

We also enhanced the study_sites reporting view and nightly CSV extract to include the new race, ethnicity, and gender patient count columns. The new columns will be included for sites whose institutions matched incoming feasibility patient count data for that study, and they will be updated based on the most recent data received from the feasibility integration. Note that the reporting view will only report on sites past the nominations bucket, so it will not include master list, review, or dropped sites. Additionally, this enhancement did not include changes to the Data Export Utility, which will be updated in a future release.