The Cerebellum Institution Health Equity sections display the percentage of applicants within each self-identification group. This data is broken down across two charts:
- Institution Health Equity Matrix
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Institution Health Equity vs. Population Census Comparison
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Institution Health Equity by Status
Overview
Each chart below displays the percentage of applicants within each self-identification group.
Each applicant is included in up to 3 identifying categories (which covers 99.99% of all applicants). The categories being displayed include the major ethnographic categories presented in GME applications. Additional categories with large applicant populations have also been included to present the most complete picture.
Health Equity Matrix
The Health Equity Matrix provides visualization for programs of applicants that self-identify in multiple categories. Each applicant is included in up to 3 identifying categories based on the self-identification information provided on their application. The categories displayed on each axis include the major ethnographic categories present in residency and fellowship applications. The matrix can be used by selecting a self-identification category on each axis and noting the value at the intersection of the row and column. The intersection between two self-identification categories will display the total number of applicants that self-identify in both categories. The 'No Identification' field will display the sum of all applicants who did not report any self-identification.
Institution Health Equity vs. Population Census Comparison
This chart is a population census comparison that compares the institution with state, regional and national census data.
Institution Health Equity by Status
This chart displays the applicant Health Equity groups within the specialty of programs using Thalamus and the percentage of each group that exists with a specific status in Thalamus or Cortex within your Institution.
Data can be filtered based on the below categories:
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Current Address State
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Current Address Country
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Permanent Address State
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Permanent Address Country
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Medical School
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Medical School Type
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Medical School State
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Gender
How the data is aggregated:
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Self-identified percentages are calculated from Thalamus and Cortex data from the program.
Each additional status is calculated from Thalamus or Cortex in the following ways:
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Applied is calculated from the unique number of applications uploaded by the programs into Cortex or for programs that do not use Cortex, the number of applicants uploaded into Thalamus Thalamus.
Visit our guide Uploading Applications into Cortex for information on the Cortex upload process. -
Invited is calculated based on the number of applicants invited to interview by the programs in Thalamus.
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Scheduled is calculated based on the number of applicants that scheduled interviews with the programs (or were scheduled by the programs to interview) in Thalamus.
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Completed is calculated based on the number of applicants that completed interviews with the programs in Thalamus.
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Ranked is calculated based on the number of applicants that were ranked on the default rank list in Thalamus. Applicants marked as Do not Rank (DNR) are not included in these calculations.
If your programs did not utilize the Thalamus Rank list, visit our guide Optimizing Cerebellum Data and Creating a Quick Golf Score to Populate your Rank list for information on populating this status. -
Matched is calculated based on the number of applicants that were marked as matched in Thalamus. Visit our guide Mark Applicants as Matched to learn how to update your programs matched applicants.
Note: If any of the statuses are missing from the graph (e.g. applied, invited, scheduled, completed, ranked or matched) it means that the feature that aggregates data for that category was not used in Thalamus or Cortex by the programs at your institution.
Why aren't more self-identifications represented?
The self-identify categories selected include the highest-level categories on standard GME training applications, regularly used by several of the organizations managing this UME to GME (and beyond transitions). Also included, are the largest “other” categories by applicant counts.
Our goal is to make the data as inclusive and equitable as possible, while also providing a valuable user interface and experience for analysis. Much care and effort has gone into ensuring that sub categories are accurately represented within each group.
Visit our guides Navigating Cerebellum for information on applying Filters and Exporting data in Cerebellum and Optimizing Cerebellum Data for information on optimizing data aggregation within Thalamus, Cortex and Cerebellum.
If you have any additional questions or concerns, please contact our team by submitting a ticket here or from the teal "Contact Thalamus Customer Support" button in the lower right hand corner of any page of our website.