Automated Evaluation of Standardized Patients with LLMs

Andrew Emerson; Le An Ha; Keelan Evanini; Su Somay; Kevin Frome; Polina Harik; Victoria Yaneva

Automated Evaluation of Standardized Patients with LLMs

Andrew Emerson, Le An Ha, Keelan Evanini, Su Somay, Kevin Frome, Polina Harik, Victoria Yaneva

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Abstract

Standardized patients (SPs) are essential for clinical reasoning assessments in medical education. This paper introduces evaluation metrics that apply to both human and simulated SP systems. The metrics are computed using two LLM-as-a-judge approaches that align with human evaluators on SP performance, enabling scalable formative clinical reasoning assessments.

Anthology ID:: 2025.aimecon-main.25
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:: October
Year:: 2025
Address:: Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
Editors:: Joshua Wilson, Christopher Ormerod, Magdalen Beiting Parrish
Venue:: AIME-Con
SIG:
Publisher:: National Council on Measurement in Education (NCME)
Note:
Pages:: 231–238
Language:
URL:: https://aclanthology.org/2025.aimecon-main.25/
DOI:
Bibkey:
Cite (ACL):: Andrew Emerson, Le An Ha, Keelan Evanini, Su Somay, Kevin Frome, Polina Harik, and Victoria Yaneva. 2025. Automated Evaluation of Standardized Patients with LLMs. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 231–238, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: Automated Evaluation of Standardized Patients with LLMs (Emerson et al., AIME-Con 2025)
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PDF:: https://aclanthology.org/2025.aimecon-main.25.pdf

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@inproceedings{emerson-etal-2025-automated,
    title = "Automated Evaluation of Standardized Patients with {LLM}s",
    author = "Emerson, Andrew  and
      Ha, Le An  and
      Evanini, Keelan  and
      Somay, Su  and
      Frome, Kevin  and
      Harik, Polina  and
      Yaneva, Victoria",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2025.aimecon-main.25/",
    pages = "231--238",
    ISBN = "979-8-218-84228-4",
    abstract = "Standardized patients (SPs) are essential for clinical reasoning assessments in medical education. This paper introduces evaluation metrics that apply to both human and simulated SP systems. The metrics are computed using two LLM-as-a-judge approaches that align with human evaluators on SP performance, enabling scalable formative clinical reasoning assessments."
}

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%0 Conference Proceedings
%T Automated Evaluation of Standardized Patients with LLMs
%A Emerson, Andrew
%A Ha, Le An
%A Evanini, Keelan
%A Somay, Su
%A Frome, Kevin
%A Harik, Polina
%A Yaneva, Victoria
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F emerson-etal-2025-automated
%X Standardized patients (SPs) are essential for clinical reasoning assessments in medical education. This paper introduces evaluation metrics that apply to both human and simulated SP systems. The metrics are computed using two LLM-as-a-judge approaches that align with human evaluators on SP performance, enabling scalable formative clinical reasoning assessments.
%U https://aclanthology.org/2025.aimecon-main.25/
%P 231-238

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Markdown (Informal)

[Automated Evaluation of Standardized Patients with LLMs](https://aclanthology.org/2025.aimecon-main.25/) (Emerson et al., AIME-Con 2025)

Automated Evaluation of Standardized Patients with LLMs (Emerson et al., AIME-Con 2025)

ACL

Andrew Emerson, Le An Ha, Keelan Evanini, Su Somay, Kevin Frome, Polina Harik, and Victoria Yaneva. 2025. Automated Evaluation of Standardized Patients with LLMs. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 231–238, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).