medical-communication

This paper introduces an LM-guided counterfactual recommendation pipeline for improving doctor-patient communication in text-based telemedicine. It identifies interpretable features like tone and actionability, and suggests minimal changes that increase positive patient feedback without altering medical content, achieving a mean 6.41% gain in predicted positive feedback.