Bişkin Çetin, Songül PhD, RN; Cebeci, Fatma PhD, RN; Eray, Oktay MD; Bilge, Uğur; Coşkun, Mustafa MSEditor(s): Alexander, Susan DNP, ANP-BC, ADM-BC Author Information 

A Computer-Based Decision Support System for Emergency Department Triage

The purpose of this realist review was to assess what works, for whom and in what context, regarding strategies that influence nurses' behaviour to improve triage quality in emergency departments (ED).

Strategies to improve the quality of nurse triage in emergency departments: A realist review protocol

KEY POINTS In this study, the triage decision support system application integrated into Hospital Information Management System using Emergency Severity Index and Australasian Triage Scale algorithms was developed in the international arena for the first time. Triage nurses reported that the system facilitated their decisions, it was useful, and they would recommend the decision support system. The system can be integrated into international hospital settings. E mergency departments are places where seconds are critical for patients, and health professionals work under immense time pressure and patient volumes. Providing effective and timely treatment for patients can mean the difference between life and death. One of the conditions of providing such treatment is determining which patient has priority for service. A triage system to prioritize patients is the most suitable approach for patient safety. It is difficult to make decisions under high patient intensity and diversity, in a complex and dynamic environment such as an emergency department triage. Decision support systems (DSSs) can provide successful solutions to overcome these difficulties. In the literature, it was reported that a DSS supports triage decisions, helps overcome the challenges in emergency settings, and increases consistency of triage decisions. When we reviewed the literature, we observed that most of the triage assessment is carried out on paper, increasing workload and hampering effective time management, and more importantly, opening the way for human error. Human-made emergency department

Deciding on triage in emergency departments is difficult and requires comprehensive knowledge and experience. This study was conducted to evaluate the effect of a “computer-based emergency department triage decision support system (DSS),“ which was designed and integrated into the hospital information management system, on triage decision accuracy and triage duration by using real patient data. Single-group, pretest–posttest non-randomised clinical trial. The study was conducted with the real data of patients who had been triaged in the adult emergency department of a university hospital. The pretest was applied between July 16 and September 16, 2019, and the post-test on September 1 and October 31, 2020. In the pre-test and post-test phases of the study, triage decision accuracy rates, and triage duration were evaluated. In the post-test phase, Emergency Triage Decision Support System (ETDSS) was prepared with a rule-based decision trees method using the Emergency Severity Index Version 4 and The Australasian Triage Scale and was integrated into the hospital information management system. The effect of the developed ETDSS was evaluated. The mean, standard deviation, frequency and percentage values were calculated for the descriptive characteristics. Independent samples t-test, analysis of variance, Sidak paired comparison, and Bonferroni tests were applied. The effect of the computer-based emergency triage DSS on triage management was tested based on the data of 16,409 patients in the pretest phase and 7,765 patients in the posttest phase. While the accuracy rate of nurses' triage decisions was 57.8% in the pretest, it was found to increase to 64.9% in the posttest. The mean duration of triage was 1.47 ± 0.72 in the pretest and 1.79 ± 0.85 min in the posttest. The DSS increased triage decision accuracy independently of professional and triage experience and brought the triage duration closer to the time recommended in the literature. Clinically, this is associated with patient safety, quality improvement processes, and professional accountability. 

The effect of computer-based decision support system on emergency department triage: Non-randomised controlled trial

Bibliometric Analysis on Examining Triage and Digital Triage Results in Emergency Departments

PurposeTo qualitatively contrast emergency department triage workflow using a paper-based triage system and an electronic decision-support tool (electronic Canadian Triage and Acuity Scale (eCTAS))...

Impact of an Electronic Decision-Support System on Nursing Triage Process: A Usability and Workflow Analysis.

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Joy McCarron

Author Tools

Chat about Author

Papers

Impact of an Electronic Decision-Support System on Nursing Triage Process: A Usability and Workflow Analysis.