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Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review

medRxiv(2025)10.1101/2025.06.02.25328807Source: DataRank Database

Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review is a research paper published in medRxiv (2025). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

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Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (14)

Emily Alsentzer ORCID,Zachary H. Strasser ORCID,Leslie Chang ORCID,Kirollos Roman,Esteban Gershanik

Live enrichment

PubMed:40502573 OpenAlex:https://openalex.org/W4411035073

NLM NIH HHS

Grant: T15 LM007092

NIDDK NIH HHS

Grant: T32 DK135449

greenLicense: cc-by

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2025/06/03/2025.06.02.25328807.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.06.02.25328807

repositoryhttps://doi.org/10.1101/2025.06.02.25328807

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40502573

Fields of Study

Machine Learning in HealthcareBiomedical Text Mining and OntologiesData Quality and Management

Keywords

Automatic summarizationVerifiable secret sharingChartComputer scienceHealth recordsElectronic health recordNatural language processingData scienceProgramming languagePolitical scienceStatisticsHealth careMathematics