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

Autor(es)

P. L. RAMOS ^[1] ; D. C. NASCIMENTO ^[2] ; R. FERNANDES ^[3] ; E. GUIMARÃES ^[4] ; M. SANTANA ^[5] ; K. SOARES ^[6] ; F. LOUZADA ^[7]

Afiliação do(s) autor(es)

^[1] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[2] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[3] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[4] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[5] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[6] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

^[7] Institute of Mathematical Science and Computing Sao Paulo University - Brasil

• Tipo de documento: Artigo Científico
• Fonte: TEMA (São Carlos); v. 20, n. 3, p. 571-585, 2019-12-20.

Resumo

ABSTRACT. The present work intends to study the effectiveness of applying the Manchester Triage System to improve patient flow in a Brazilian hospital, which allows a more welcoming and decisive service. Thus, time to event techniques is 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 the time of attendance. In the end, we provide a simple model that can be used to predict such time under different explanatory variables for a particular Brazilian hospital. (AU)

• Processo FAPESP: 17/25971-0 - Inferência estatística de sistemas complexos
• Beneficiário: Pedro Luiz Ramos
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado