Enhancing Medical Education

Simulated patient interactions are a key element of medical training for students at UT Southwestern. These interactions with a patient actor are used to measure a student’s knowledge, interpersonal skills, and notetaking to prepare them for work in the clinic. and his colleagues developed AI algorithms that can score the students’ clinical notes to swiftly provide feedback.

The AI evaluation process has transformed Objective Structured Clinical Examination (OSCE) feedback since the fall 2023 medical student cohort, for whom AI replaced more than 91% of the human grading efforts and delivered their results within days, instead of the typical weeks required to complete human evaluations.

“As an innovative school, it’s important we develop the skills on campus to work deftly with AI so it can complement our projects,” Dr. Jamieson said. “If we are not ahead, we’re behind.”

Moving forward, the Jamieson Lab and UTSW Simulation Center will work on how to use AI to deliver narrative feedback to students beyond a simple score. Additionally, they are prototyping systems that can analyze recorded videos of the students’ exams. Overall, such efforts are leading to more efficient, standardized, and impactful performance evaluation processes for our learners.