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Manchester Triage System-Based Digital Decision Support System and Nurse Triage Accuracy
Sponsor: Kibrıs Aydin Üniversitesi
Summary
This study aims to evaluate the effect of a Manchester Triage System-based digital decision support system on emergency nurses' triage accuracy and agreement. Triage is the process of assessing patients when they arrive at the emergency department and determining how urgently they need care. In this study, emergency nurses will first perform routine triage without using the digital system. They will then receive training on the Manchester Triage System and the use of the digital decision support system. In the following phase, nurses will perform triage using their usual clinical assessment and the digital system. The study will compare nurses' triage decisions before and after the intervention and examine the agreement between nurses' decisions and the digital system. The study will be conducted in the adult emergency department of Dr. Burhan Nalbantoğlu State Hospital in Nicosia, Northern Cyprus. The findings may help determine whether a digital decision support system can improve the consistency and accuracy of emergency triage decisions.
Official title: Effect of a Manchester Triage System-Based Digital Decision Support System on Nurse Triage Accuracy and Triage Concordance
Key Details
Gender
All
Age Range
22 Years - 60 Years
Study Type
INTERVENTIONAL
Enrollment
16
Start Date
2026-11-01
Completion Date
2027-04-30
Last Updated
2026-09-22
Healthy Volunteers
No
Conditions
Interventions
Manchester Triage System-Based Digital Decision Support System
The intervention consists of structured Manchester Triage System (MTS) education followed by the use of a web-based MTS-based digital decision support system. Emergency nurses will receive training on the principles, triage categories, algorithms, and discriminators of the MTS, as well as on the use of the digital system. During the posttest phase, nurses will first perform triage based on their clinical assessment and then enter the relevant patient information into the digital decision support system. The system will generate an MTS triage category based on the applicable MTS algorithm. The intervention is designed to support nurses' triage decision-making and improve triage accuracy and concordance.