PulseAugur
EN
LIVE 12:21:09

New Framework Evaluates LLMs in Clinical Consultations Using EHR Data

By PulseAugur Editorial · [2 sources] ·

Researchers have developed AIPatient Arena, a new framework for evaluating large language models (LLMs) in clinical consultation settings. This framework uses electronic health records (EHRs) to simulate realistic, multi-turn physician-patient interactions. While LLMs showed strengths in questioning skills, ethical conduct, and explanations, they struggled with information integration, medication safety, handling ambiguity, information coverage, and diagnostic accuracy. AI

IMPACT Highlights the need for comprehensive evaluation of LLMs in healthcare beyond simple accuracy, focusing on interaction and reasoning.

RANK_REASON The cluster contains an academic paper detailing a new evaluation framework for LLMs in a specific domain.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Framework Evaluates LLMs in Clinical Consultations Using EHR Data

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jiahui Niu, Huizi Yu, Wenkong Wang, Guangxin Dai, Jingxian He, Xiang Li, Zhiying Liang, Xinxin Lin, Kent CY So, Bryan YP Yan, Yun Kwok Wing, Yanqiu Xing, Xin Ma, Lizhou Fan ·

    AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows

    arXiv:2606.17474v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly considered for use in clinical consultation tasks, yet most medical evaluations remain static, single-turn, or narrowly outcome-based, limiting their ability to reflect the sequential,…

  2. arXiv cs.CL TIER_1 English(EN) · Lizhou Fan ·

    AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows

    Large language models (LLMs) are increasingly considered for use in clinical consultation tasks, yet most medical evaluations remain static, single-turn, or narrowly outcome-based, limiting their ability to reflect the sequential, uncertain, and interactive nature of real-world c…

RELATED ENTITIES

RELATED TOPICS