OPTIMTS: Optimization of Treatment Priority of the Manchester Triage System
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Admission to General Ward Positive Admission to General Ward Positive |
Other: Admission to General Ward
Admission to General Ward
|
| 30 Day Mortality Positive 30 Day Mortality Positive |
Other: 30 Day Mortality
30 Day Mortality
|
| Admission to Intensive Care Unit Positive Admission to Intensive Care Unit Positive |
Other: Admission to Intensive Care Unit
Admission to Intensive Care Unit
|
| Admission to General Ward Negative Admission to General Ward Negative |
|
| 30 Day Mortality Negative 30 Day Mortality Negative |
|
| Admission to Intensive Care Unit Negative Admission to Intensive Care Unit Negative |
Outcome Measures
Primary Outcome Measures
- AUROC for Classification of Admission to General Ward [2015-12-01 to 2020-08-31]
AUROC for Classification of Admission to General Ward
- 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
Secondary Outcome Measures
- 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.
Eligibility Criteria
Criteria
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.
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Kepler University Hospital | Linz | Upper Austria | Austria | 4021 |
Sponsors and Collaborators
- Kepler University Hospital
Investigators
- Principal Investigator: Thomas Tschoellitsch, MD, Kepler University Hospital and Johannes Kepler University, Linz, Austria
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- OPTIMTS