Optimization of Treatment Priority of the Manchester Triage System

Triage Clinical Trial

— OPTIMTS  

Official title:

Optimization of Treatment Priority of the Manchester Triage System

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05473988
• Other study ID #: OPTIMTS
• Status: Completed
• Start date: June 1, 2022
• Est. completion date: July 31, 2022

Study information

• Verified date: April 2023
• Source: Kepler University Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 77976
• Est. completion date: July 31, 2022
• Est. primary completion date: July 31, 2022
• Gender: All
• Age group: 18 Years to 120 Years

Eligibility

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.

Related Conditions & MeSH terms

• Triage

Intervention

Other:
• Admission to General Ward
Admission to General Ward
• Admission to Intensive Care Unit
Admission to Intensive Care Unit
• 30 Day Mortality
30 Day Mortality

Locations

Country	Name	City	State
Austria	Kepler University Hospital	Linz	Upper Austria

Sponsors (1)

Lead Sponsor	Collaborator
Kepler University Hospital

Country where clinical trial is conducted

Austria, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	AUROC for Classification of Admission to General Ward	AUROC for Classification of Admission to General Ward	2015-12-01 to 2020-08-31
Primary	AUROC for Classification of Admission to Intensive Care Unit	AUROC for Classification of Admission to Intensive Care Unit	2015-12-01 to 2020-08-31
Primary	AUROC for Classification of 30 Day Mortality	AUROC for Classification of 30 Day Mortality	2015-12-01 to 2020-08-31
Secondary	Confusion Matrix	Confusion Matrix Results: true positives, true negatives, false positive, false negatives and values calculated from these results.	2015-12-01 to 2020-08-31