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临床试验/NCT05473988
NCT05473988已完成不适用

Optimization of Treatment Priority of the Manchester Triage System

Kepler University Hospital1 个研究点 分布在 1 个国家目标入组 77,976 人开始时间: 2022年6月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
77,976
试验地点
1
主要终点
AUROC for Classification of Admission to Intensive Care Unit

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 120 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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.

排除标准

  • 未提供

结局指标

主要结局

AUROC for Classification of Admission to Intensive Care Unit

时间窗: 2015-12-01 to 2020-08-31

AUROC for Classification of Admission to Intensive Care Unit

AUROC for Classification of 30 Day Mortality

时间窗: 2015-12-01 to 2020-08-31

AUROC for Classification of 30 Day Mortality

AUROC for Classification of Admission to General Ward

时间窗: 2015-12-01 to 2020-08-31

AUROC for Classification of Admission to General Ward

次要结局

  • Confusion Matrix(2015-12-01 to 2020-08-31)

研究者

发起方
Kepler University Hospital
申办方类型
Other
责任方
Sponsor

研究点 (1)

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