Emergency Department (ED) triage is a process of determining illness severity and accordingly assigning patient priority. The Emergency Severity Index (ESI) is a 5-level acuity categorization system that aides in triage. This paper compared the capabilities of predicting ESI level using ordinal logistic regression (OLR), artificial neural networks (NNs), and naïve Bayesian networks (NBNs). Data...

introduction: emergency department performance index (epi) greatly influences the function of other hospital’s units and also patient satisfaction. recently, the iranian ministry of health has defined specific national epi containing five indexes. in the present study, the performance indexes of emergency department (ed) in one educational hospital has been assessed before and after establishme...

Background and Objectives: MThe Emergency Severity Index (ESI) triage is commonly used in clinical settings to determine the patients’ emergency severity. However, the reliability of this index is not sufficiently explored. The present study examines the inter-rater reliability of ESI by comparing triage ratings as performed by nurses and physicians. Methods: This prospective cross-sectional st...

Background: There is difficulty in identifying low-risk patients with acute coronary syndrome the emergency department (ED). Objectives: The aim of this study was to compare mistriage between Emergency Severity Index (ESI) plus cardiac troponin I rapid test (cTnI) and ESI among chest pain. Methods: A randomized clinical trial conducted from January April 2019. One hundred pain were randomly all...

introduction: awareness about the outcome of trauma patients in the emergency department (ed) has become a topic of interest. accordingly, the present study aimed to compare the rapid trauma score (rts) and worthing physiological scoring system (wpss) in predicting in-hospital mortality and poor outcome of trauma patients. methods: in this comparative study trauma patients brought to five eds i...

To more effectively cope with the network public sentiment emergency involved many intervalvalued warning indexes, we present a new method of early warning index selection and weight assignment for uncertain network public sentiment emergency decision-making. By using a new interval fuzzy AHP, the interval weight of each early warning index of network public sentiment emergency can be obtained....