Work

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

Year: 2025

Type: conference-paper

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 enhancing these skills and integrating into medical education 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 train their OCP skills.Through a preliminary user study from the expert perspective, we validated the effectiveness of the probe.

Source: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/3706599.3720206

Authors: Yang Ouyang, Yuansong Xu, Chang Jiang, Quan Li

Institutions: ShanghaiTech University, Shanghai Clinical Research Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Quality education

Open Access status: bronze

Funders: National Natural Science Foundation of China, Ministry of Education, India