Diagnosing an overcrowded emergency department from its Electronic Health Records

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Diagnosing an overcrowded emergency department from its Electronic Health Records ; volume:14 ; number:1 ; day:30 ; month:4 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (30.4.2024), 1-14, 12.2024

Creator: Marzano, Luca
Darwich, Adam S.
Jayanth, Raghothama
Sven, Lethvall
Falk, Nina
Bodeby, Patrik
Meijer, Sebastiaan

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-60888-9

URN: urn:nbn:de:101:1-2407122126537.852459291271

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:44 AM CEST

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Marzano, Luca
Darwich, Adam S.
Jayanth, Raghothama
Sven, Lethvall
Falk, Nina
Bodeby, Patrik
Meijer, Sebastiaan
SpringerLink (Online service)

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Diagnosing an overcrowded emergency department from its Electronic Health Records

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Other Objects (12)

Benchmarking emergency department prediction models with machine learning and public electronic health records

Identifying Asthma Exacerbation-Related Emergency Department Visit Using Electronic Medical Record and Claims Data

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The receipt of information by family physicians about their patient’s emergency department visits: a record linkage study of electronic medical records to health administrative data

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Identifying Asthma Exacerbation-Related Emergency Department Visit Using Electronic Medical Record and Claims Data

Real-World Management of Hyperkalemia in the Emergency Department: An Electronic Medical Record Analysis

Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department

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Usability Evaluation of Visual Representation Formats for Emergency Department Records

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Using the electronic medical record to increase testing for HIV and hepatitis C virus in an Appalachian emergency department

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An emergency department medical record review for adolescent intentional self-harm injuries

The receipt of information by family physicians about their patient’s emergency department visits: a record linkage study of electronic medical records to health administrative data

Benchmarking emergency department prediction models with machine learning and public electronic health records

Identifying Asthma Exacerbation-Related Emergency Department Visit Using Electronic Medical Record and Claims Data

Real-World Management of Hyperkalemia in the Emergency Department: An Electronic Medical Record Analysis

Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department

Predictive score for diagnosing acute colonic diverticulitis in the emergency department: a retrospective study

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