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

arXiv:2606.17474v1 Announce Type: new 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, uncertain, and interactive nature of real-world care. Here, we propose AIPatient Arena, an EHRs-grounded evaluation framework for assessing the clinical utility of LLMs across eight dimensions of clinical competence. The framework integrates EHR data into patient-specific knowledge graphs, enabling multi-turn physician-

Source: arXiv cs.CL — read the full report at the original publisher.

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