Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

Authors

  • Pedro L. Ramos University of São Paulo
  • Diego C. Nascimento University of São Paulo
  • Robson Fernandes University of São Paulo
  • Edson Guimarães University of São Paulo
  • M. Santana
  • Kleber Soares University of São Paulo
  • Francisco Louzada University of São Paulo

DOI:

https://doi.org/10.5540/tema.2019.020.03.571

Keywords:

Manchester Triage System, Parametric Models, Risk Classification, Survival Analysis.

Abstract

The present work intends to study the effectiveness of applying Manchester Triage System to improve patient flow in a Brazilian hospital, which allow a more welcoming and decisive service.  Thus, time to event techniques are applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence in the time of attendance. At the end, we provide a simple model that can be used to predict such time under different explanatory variable for a particular Brazilian hospital.

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Published

2019-12-02

How to Cite

Ramos, P. L., Nascimento, D. C., Fernandes, R., Guimarães, E., Santana, M., Soares, K., & Louzada, F. (2019). Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models. Trends in Computational and Applied Mathematics, 20(3), 571. https://doi.org/10.5540/tema.2019.020.03.571

Issue

Vol. 20 No. 3 (2019)

Section

Original Article

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