Beating the Clock: A Prediction Model for Timely Care in Emergency Departments.

Bienzeisler, Jonas; Hoy, Wiliam; Kombeiz, Alexander; Alhaskir, Mohamed; Röhrig, Rainer; Majeed, Raphael; Unterkofler, Jenny; Puladi, Behrus

Bienzeisler, Jonas; Hoy, Wiliam; Kombeiz, Alexander; Alhaskir, Mohamed; Röhrig, Rainer; Majeed, Raphael; Unterkofler, Jenny; Puladi, Behrus.

Afiliação

Bienzeisler J; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Hoy W; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Kombeiz A; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Alhaskir M; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Röhrig R; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Majeed R; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Unterkofler J; Department for Acute and Emergency Medicine, Medical Faculty of RWTH Aachen University, Aachen, Germany.
Puladi B; Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany.

Stud Health Technol Inform ; 316: 1657-1658, 2024 Aug 22.

Article em En | MEDLINE | ID: mdl-39176528

ABSTRACT

ABSTRACT

We developed and validated a statistical prediction model using 2.5 electronic health records from 24 German emergency departments (EDs) to estimate treatment timeliness at triage. The model's moderate fit and reliance on interoperable, routine data suggest its potential for implementation in ED crowding management.

Assuntos

Registros Eletrônicos de Saúde; Serviço Hospitalar de Emergência; Triagem; Humanos; Alemanha; Modelos Estatísticos; Aglomeração

Palavras-chave

EHR; Predictive Modelling; clinical routine data

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Triagem / Serviço Hospitalar de Emergência / Registros Eletrônicos de Saúde Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2024 Tipo de documento: Article

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