Predicting emergency department disposition using machine learning and large language models to support proactive capacity management: a multicenter retrospective study

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Publication Details

Journal
BMC Emergency Medicine
Published
2026-02-12
DOI
https://doi.org/10.1186/s12873-026-01487-x
Primary Topic
Emergency and Acute Care Studies
Type
article
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article

Predicting emergency department disposition using machine learning and large language models to support proactive capacity management: a multicenter retrospective study

William L. Jackson, Chris Gaafary, Ronald G. Pirrallo, Jessica Hobbs et al.
BMC Emergency Medicine
Emergency and Acute Care Studies
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Predicting emergency department disposition using machine learning and large language models to support proactive capacity management: a multicenter retrospective study

William L. Jackson, Chris Gaafary, Ronald G. Pirrallo, Jessica Hobbs, Farzad Zeinali, Michael Ramsay, Kevin Taaffe
article en

Abstract

No abstract available for this paper.
BMC Emergency MedicineVol. 26(1)
Prisma Health (US), Clemson University (US)
Openalex Percentile: Top 60%
Emergency and Acute Care Studies
DOIOpen Access PDFOpenAlex
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