UT Southwestern says AI now does most of the grading on its medical students' clinical exam notes
UT Southwestern Medical Center built a process that reads and grades the post encounter notes students write after their objective structured clinical examinations. The medical school says it has replaced more than 91 percent of human grading since the autumn of 2023 and returns results in days rather than weeks. The stated reason is that grading those notes by hand is slow and inconsistent. The page names no model and no vendor, and it carries no publication date, so how current the figure is can't be established from it.
How to take part
The medical school publishes its own account of the process. No public participation step exists and no date is given for the decision.
Where
1 county. In Dallas-Fort Worth-Arlington.
How this decision moved
One dated line per check, oldest first. A line that says nothing changed means somebody looked and it had not.
- 2026-08-27
Admitted. The medical school still states that the artificial intelligence grading process has replaced more than 91 percent of human grading of these notes since the autumn of 2023. It still gives inconsistency in manual grading as the reason for building it.
- 2026-08-30
Unchanged. The school still says the model does most of the grading on its students' clinical exam notes.
- 2026-09-01
UT Southwestern's use of artificial intelligence to grade clinical-exam notes remains documented as current practice.
- 2026-09-02
Checked and unchanged. The decision still stands as decided.
- 2026-09-05
The Dallas medical school still says AI does most of the grading on its students' clinical exam notes. Nothing has been withdrawn.
The evidence
Every fact above rests on one of these. The words are the source's own.
Since fall 2023, the AI evaluation process has transformed OSCE feedback for UT Southwestern medical students, replacing more than 91% of human grading and delivering results within days versus weeksUT Southwestern Medical Center, AI Innovations in Medical Education Primary source, official · utsouthwestern.edu
The process of manually reviewing and grading these notes is labor-intensive, time-consuming, and prone to inconsistencyUT Southwestern Medical Center, AI Innovations in Medical Education Primary source, official · utsouthwestern.edu
Questions about this decision
Answered from the record itself. Every answer is assembled from stored fields, so an answer the record has no basis for is left out rather than guessed.
What is this decision?
UT Southwestern Medical Center built a process that reads and grades the post encounter notes students write after their objective structured clinical examinations. The medical school says it has replaced more than 91 percent of human grading since the autumn of 2023 and returns results in days rather than weeks. The stated reason is that grading those notes by hand is slow and inconsistent. The page names no model and no vendor, and it carries no publication date, so how current the figure is can't be established from it.
Who decides it?
University of Texas Southwestern Medical Center decides. The record names the deciding body for every entry it carries.
Can the public take part?
The medical school publishes its own account of the process. No public participation step exists and no date is given for the decision.
Where in Texas does it apply?
It covers Dallas County in the Dallas-Fort Worth-Arlington, TX area.
Has it been decided?
It has been decided. The dates on the item page carry when.
What kind of decision is it?
It is filed under health and education.
What sources back it?
One source backs it. It is primary.
Is it on the ERCOT grid?
Yes. It sits inside the ERCOT interconnection.
When was it last checked?
Every fact on it was last verified against its source on September 5th, 2026.
Cite this
Texas AI Docket, UT Southwestern says AI now does most of the grading on its medical students' clinical exam notes. Tracked since August 27th, 2026. Last verified September 5th, 2026. https://texasaidocket.com/item/tx-2026-0102/. Reuse permitted under CC BY 4.0 with attribution. The same entry is in the docket JSON as item tx-2026-0102.
Beat
Filed under Health and education, with every other decision on that beat.