Can language technology read medical students’ written work closely enough to assess their health systems citizenship reliably and at scale?
Operationalizing, Validating, and Scaling Health Systems Citizenship Assessment in Undergraduate Medical Education
Developing NLP and AI-based tools to support assessment of health systems citizenship and to characterize medical students' mental models of health systems.
Objectives
- Design and validate NLP/AI pipelines to analyze assessment artifacts
- Quantify and visualize students' mental models of health systems
- Translate insights into actionable feedback for learners and programs