A training platform that enables healthcare students to practice clinical communication skills through simulated patient interactions powered by large language models.
Instructors can create varied clinical scenarios for realistic training experiences.
Practice with realistic patient interactions using advanced language models.
Receive automated insights on communication strengths and areas for improvement.
This project is part of an independent study (IT 478) at UMass Boston, supervised by Rosemary Samia.
Developed by David Martinez (Technical) and Michael Agbesi (UX/UI Design)