Papers with realistic doctor-patient interactions

1 papers
High-Quality Medical Dialogue Synthesis for Improving EMR Generation (2025.emnlp-industry)

Copied to clipboard

Challenge: Existing methods for generating EMRs from doctor-patient dialogues produce rigid and repetitive dialogues.
Approach: They propose a framework that integrates Intent Graph Planning, Dual-Agent Simulation and Rule-Reward Quality Control to generate realistic doctor-patient dialogues.
Outcome: The proposed framework significantly enhances realism, diversity and downstream EMR quality, reducing physician editing efforts.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations