Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Building a decision support system for inpatient admission prediction with the Manchester Triage System (MTS) and administrative check-in variables
Year:2016
Research Areas
  • Statistics,
  • Applications,
  • Biomedicine,
  • Computer system,
  • Learning
Information
Abstract
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.
International
Si
JCR
Si
Title
Computers Informatics Nursing
ISBN
1538-2931
Impact factor JCR
Impact info
Q3 Medical Informatics
Volume
34
10.1097/CIN.0000000000000230
Journal number
5
From page
224
To page
230
Month
MAYO
Ranking
Q3 Medical Informatics
Participants
  • Autor: Alexander Zlotnik Enaliev (UPM)
  • Autor: Miguel Cuchí (H.U. Ramón y Cajal)
  • Autor: María Carmen Perez-Perez (H.U. Ramón y Cajal)
  • Autor: Ascensión Gallardo-Antolín (CIII)
  • Autor: Juan Manuel Montero Martinez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería Electrónica
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)