Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables
Año:2016
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
The usage of decision support tools in emergency departments, based on predictive models, capable of estimating the probability of admission for patients in the emergency department may give nursing staff the possibility of allocating resources in advance. We present a methodology for developing and building one such system for a large specialized care hospital using a logistic regression and an artificial neural network model using nine routinely collected variables available right at the end of the triage process. A database of 255.668 triaged nonobstetric emergency department presentations from the Ramon y Cajal University Hospital of Madrid, from January 2011 to December 2012, was used to develop and test the models, with 66% of the data used for derivation and 34% for validation, with an ordered nonrandom partition. On the validation dataset areas under the receiver operating characteristic curve were 0.8568 (95% confidence interval, 0.8508?0.8583) for the logistic regression model and 0.8575 (95% confidence interval, 0.8540?0. 8610) for the artificial neural network model. ?2 values for Hosmer-Lemeshow fixed ?deciles of risk? were 65.32 for the logistic regression model and 17.28 for the artificial neural network model. A nomogram was generated upon the logistic regression model and an automated software decision support system with a Web interface was built based on the artificial neural network model.
Internacional
Si
JCR del ISI
Si
Título de la revista
Computers, Informatics, Nursing
ISSN
1538-2931
Factor de impacto JCR
0,868
Información de impacto
Volumen
34
DOI
Número de revista
5
Desde la página
224
Hasta la página
230
Mes
SIN MES
Ranking
Journal Rank in Category 79/116; Quartile in Category Q3
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alexander Zlotnik Enaliev (UPM)
  • Autor: Miguel Cuchí Alfaro (Ramón y Cajal University Hospital C/ de Colmenar Viejo, Madrid)
  • Autor: María Carmen Pérez Pérez (Ramón y Cajal University Hospital C/ de Colmenar Viejo, Madrid)
  • Autor: Ascensión Gallardo Antolín (Universidad Carlos III Madrid)
  • Autor: Juan Manuel Montero Martinez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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