Lune

CHI2026Top-tier venue

CaseMaster: Designing and Evaluating a Probe for Oral Case Presentation Training with LLM Assistance

Yang Ouyang, Yuansong Xu, Chang Jiang, Yifan Jin, Haoran Jiang, Quan Li

2026Year
1Citations

Abstract

Preparing an oral case presentation (OCP) is a crucial skill for medical students, requiring clear communication of patient information, clinical findings, and treatment plans. However, inconsistent student participation and limited guidance can make this task challenging. While Large Language Models (LLMs) can provide structured content to streamline the process, their role in facilitating skill development and supporting medical education integration remains underexplored. To address this, we conducted a formative study with six medical educators and developed CaseMaster, an interactive probe that leverages LLM-generated content tailored to medical education to help users enhance their OCP skills. The controlled study suggests CaseMaster has the potential to both improve presentation quality and reduce workload compared to traditional methods, an implication reinforced by expert feedback. We propose guidelines for educators to develop adaptive, user-centered training methods using LLMs, while considering the implications of integrating advanced technologies into medical education.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 07bc5886-3f9a-4781-bbf1-a487ecdc46e7

Builds on7

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines