Evidence map›Paper›PMID 42186739›Full record

ArticleJournal of educational evaluation for health professions2026

Large language model-generated versus teacher-written objective structured clinical examination stations for medical students: a blinded comparative pilot study.

Piotr Szychowiak, Jonathan Wong-So, Hélène Messet, Mélanie Faure, Isaure Breteau, Simon Jamard, François Barbier, Maxime Desgrouas

Abstract readComparative Study
In one paragraph

Article in Journal of educational evaluation for health professions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Piotr SzychowiakMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France.
Jonathan Wong-SoMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France.
Hélène MessetMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France.
Mélanie FaureMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France.
Isaure BreteauRéanimation Chirurgicale, Centre Hospitalier Régional Universitaire de Tours, Orleans, France.
Simon JamardService des Maladies Infectieuses et Tropicales, Centre Hospitalier Régional Universitaire de Tours, Orleans, France.
François BarbierMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France.
Maxime DesgrouasMédecine Intensive Réanimation, Centre Hospitalier Universitaire d'Orléans, Orleans, France. maxime.desgrouas@chu-orleans.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing objective structured clinical examination (OSCE) stations is time-consuming for medical teachers. We aimed to evaluate the ability of a large language model (LLM) to generate ready-to-use OSCE stations. Five OSCE stations generated by the LLM GPT-4o were evaluated by 7 expert assessors using a 5-point Likert scale and compared with 5 teacher-written stations targeting similar learning objectives. A station was considered to be of good quality if most assessors responded "agree" or "strongly agree" to the statement "The station is good enough to be used by students." All teacher-written stations were rated as being of good quality, compared with only one GPT-4o-generated station. The LLM produced adequate clinical scenarios when reference knowledge was provided and tasks were clearly ordered, but it failed to generate reliable assessment grids. Careful review by teachers remained essential. GPT-4o failed to consistently produce fully ready-to-use OSCE stations.

Indexed as

Clinical CompetenceEducational MeasurementEducation, Medical, UndergraduateLarge Language ModelsStudents, MedicalHumansPilot ProjectsArtificial intelligenceClinical competenceEducational measurementFranceMedical education

Identifiers

PMID42186739
PMCPMC13287236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.