Ignite Creation Date:
2025-12-24 @ 3:20 PM
Ignite Modification Date:
2026-01-03 @ 8:15 PM
Study NCT ID:
NCT05388292
Status:
COMPLETED
Last Update Posted:
2024-02-02
First Post:
2022-04-28
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Decision Support System on Emergency Triage
Sponsor:
Akdeniz University
Organization:
Study Overview
Official Title:
Effect of Computer-based Decision Support System on Emergency Triage Management
Status:
COMPLETED
Status Verified Date:
2024-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.
Detailed Description:
Background: Triage in the emergency department overstrains employees due to patient density, diversity, and time pressure.
Aim: The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.
Study design: This is a quasi-experimental study with a single-group pre-test and post-test design. The study consisted of three stages.
Methods: In the first stage, a SQL (Structured Query Language) Script was developed to evaluate the accuracy and duration of pre-and post-DSS triage decisions. In the second stage (pre-test), the accuracy and duration of pre-DSS triage decisions were evaluated. In the second stage, a DSS was prepared with rule-based decision trees method using the ESI and ATS algorithms and was integrated into the HIMS. In the third and last stage (post-test), the effect of the developed Emergency Triage Decision Support System (ETDSS) on triage management was evaluated against the accuracy and duration of triage decisions.
Aim: The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.
Study design: This is a quasi-experimental study with a single-group pre-test and post-test design. The study consisted of three stages.
Methods: In the first stage, a SQL (Structured Query Language) Script was developed to evaluate the accuracy and duration of pre-and post-DSS triage decisions. In the second stage (pre-test), the accuracy and duration of pre-DSS triage decisions were evaluated. In the second stage, a DSS was prepared with rule-based decision trees method using the ESI and ATS algorithms and was integrated into the HIMS. In the third and last stage (post-test), the effect of the developed Emergency Triage Decision Support System (ETDSS) on triage management was evaluated against the accuracy and duration of triage decisions.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: