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OpenTrials
Completed

NCT Number: NCT05473988

Optimization of Treatment Priority of the Manchester Triage System

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.

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Key information

Conditions

Age range

18 year–120 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Kepler University Hospital

Linz, Upper Austria, 4021, Austria

Who can participate

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Admission to General Ward

Other

Admission to General Ward

Admission to Intensive Care Unit

Other

Admission to Intensive Care Unit

30 Day Mortality

Other

30 Day Mortality

Primary outcomes

  1. AUROC for Classification of Admission to General Ward

    Time frame: 2015-12-01 to 2020-08-31

    AUROC for Classification of Admission to General Ward

  2. AUROC for Classification of Admission to Intensive Care Unit

    Time frame: 2015-12-01 to 2020-08-31

    AUROC for Classification of Admission to Intensive Care Unit

  3. AUROC for Classification of 30 Day Mortality

    Time frame: 2015-12-01 to 2020-08-31

    AUROC for Classification of 30 Day Mortality

Secondary outcomes

  1. Confusion Matrix

    Time frame: 2015-12-01 to 2020-08-31

    Confusion Matrix Results: true positives, true negatives, false positive, false negatives and values calculated from these results.

Sponsors and collaborators

Lead sponsor

Kepler University Hospital

Other

Registry information

Acronym: OPTIMTS

Important dates

Study start
2022
Primary completion
2022
Study completion
2022
First posted
Jul 26, 2022
Registry last updated
May 3, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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