Optimization of Treatment Priority of the Manchester Triage System

Completed

• Conditions: Triage
• Interventions: Other: 30 Day Mortality; Other: Admission to General Ward; Other: Admission to Intensive Care Unit

• Registration Number: NCT05473988
• Lead Sponsor: Kepler University Hospital

Brief Summary

In the emergency department, the urgency for treating patients is determined according to the Manchester Triage System. The parameters collected in this process are deterministically translated into a treatment priority.

The Manchester Triage System (MTS), which has been in use for at least 20 years, is a widely used, validated and standardized procedure for initial assessment in the emergency department - this initial assessment (triage) is done to prioritize medical assistance at a central point. Especially in emergency situations, critically endangered patients often require the deployment of a large part of the available staff at the same time - the medically correct triage of patients according to objective criteria in order to enable an adequate allocation of the available resources at the right time is the main objective. In the optimal case, each patient is treated by medical professionals within the time frame that is adequate for his/her health condition.

Using artificial intelligence methods, it may be possible to increase the accuracy of treatment priority assignment. In the best case, incorrect prioritization of patients can be prevented and medical care can be ensured for those patients who actually need it most urgently.

However, initial assessment, even if standardized and validated, still runs under limited resource conditions - time, space, material and personnel. Last but not least, the very idea of conducting an initial assessment limits its validity, and the results of the allocation fluctuate according to current research, although the determinants of this are currently unknown.

Detailed Description

Not available

Study Timeline

• Study Start: 2022-06-01
• Study First Submitted: 2022-07-12
• Study First Submitted QC: 2022-07-23
• Study First Posted: 2022-07-26
• Primary Completion: 2022-07-31
• Study Completion: 2022-07-31
• Status Verified: 2023-04
• Last Update Submitted: 2023-04-29
• Last Update Posted: 2023-05-03

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 77976

Inclusion Criteria

• All adult patients that were triaged at the emergency department at the Kepler University Hospital in the period between 2015-12-01 to 2020-08-31.

Exclusion Criteria

• None.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
30 Day Mortality Positive	30 Day Mortality	30 Day Mortality Positive
Admission to General Ward Positive	Admission to General Ward	Admission to General Ward Positive
Admission to Intensive Care Unit Positive	Admission to Intensive Care Unit	Admission to Intensive Care Unit Positive

Primary Outcome Measures

Name	Time	Method
AUROC for Classification of Admission to Intensive Care Unit	2015-12-01 to 2020-08-31	AUROC for Classification of Admission to Intensive Care Unit
AUROC for Classification of 30 Day Mortality	2015-12-01 to 2020-08-31	AUROC for Classification of 30 Day Mortality
AUROC for Classification of Admission to General Ward	2015-12-01 to 2020-08-31	AUROC for Classification of Admission to General Ward

Secondary Outcome Measures

Name	Time	Method
Confusion Matrix	2015-12-01 to 2020-08-31	Confusion Matrix Results: true positives, true negatives, false positive, false negatives and values calculated from these results.

Trial Locations

Locations (1)

Kepler University Hospital; 🇦🇹 Linz, Upper Austria, Austria