Development and validation of an advanced data analytics model to support strategic point-of-care testing utilization decisions in the emergency department

This study was carried out to address potential uncertainties about how point-of-care testing (POCT) improves patients' outcomes in emergency department (ED). The main aim was to develop and validate a model based on advanced data analytics to evaluate POCT's impact in patients' outco...

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Detalles Bibliográficos
Autores: León-Justel, Antonio, Jiménez Barragán, M., Navarro Bustos, Carmen, Martín Pérez, Salomón, Garrido Castilla, José M., Morales Barroso, Isabel M., Oltra Hostalet, Fernando, Fernández Gallardo, María F., Diaz Luque, Ana, Eugenio Pizarro, Antonia, Luque Cid, Antonio, Sánchez-Mora, Catalina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/401734
Acceso en línea:http://hdl.handle.net/10261/401734
https://api.elsevier.com/content/abstract/scopus_id/105007552811
Access Level:acceso abierto
Palabra clave:C
C6
C67
C69
Overcrowding
Advanced data analytics model
Emergency department
Point-of-care
Simulation
Descripción
Sumario:This study was carried out to address potential uncertainties about how point-of-care testing (POCT) improves patients' outcomes in emergency department (ED). The main aim was to develop and validate a model based on advanced data analytics to evaluate POCT's impact in patients' outcomes and ED patients' flow.

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