Evidence map›Paper›PMID 41525688›Full record

ArticleJMIR formative research2026

Evaluating Spanish Translations of Emergency Department Discharge Instructions by a Large Language Model: Tool Validation and Reliability Study.

Jossie A Carreras Tartak, Ryan Cl Brewster, Daniela Arango Isaza, Antonio Berumen Martinez, Ana Grafals, Phanidhar Adusumilli, Ted Fitzgerald, Roger Orcutt, Larry A Nathanson, Adrian D Haimovich

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jossie A Carreras TartakDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0003-1450-0383
Ryan Cl BrewsterDepartment of Pediatrics, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0003-0051-2623
Daniela Arango IsazaDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0003-3366-9803
Antonio Berumen MartinezDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0003-2265-0779
Ana GrafalsDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0009-0005-5781-7227
Phanidhar AdusumilliDepartment of Technology and Innovation, Beth Israel Lahey Health, Boston, MA, United States.ORCID 0009-0000-5135-9783
Ted FitzgeraldDepartment of Technology and Innovation, Beth Israel Lahey Health, Boston, MA, United States.ORCID 0009-0006-1172-1489
Roger OrcuttDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0009-0004-5320-3263
Larry A NathansonDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0002-2297-1495
Adrian D HaimovichDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0002-4106-7055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When given a sample of 100 emergency department discharge instructions, Claude Sonnet, a large language model, produced accurate Spanish translations as evaluated by Spanish-speaking physicians and medical interpreters.

Indexed as

Emergency Service, HospitalLarge Language ModelsPatient Discharge SummariesSoftware ValidationTranslatingFeasibility StudiesHumansMedical InterpretingReproducibility of ResultsTranslationsartificial intelligencedisparitieslanguagemachine learningmachine translation

Identifiers

PMID41525688
PMCPMC12835839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.