Akdeniz University
Antalya, Turkey (Türkiye)
NCT Number: NCT05388292
The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.
Looking for future studies?
Notify Me18 year and older
All sexes
Interventional
Not applicable
Antalya, Turkey (Türkiye)
Background: Triage in the emergency department overstrains employees due to patient density, diversity, and time pressure.
Aim: The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.
Study design: This is a quasi-experimental study with a single-group pre-test and post-test design. The study consisted of three stages.
Methods: In the first stage, a SQL (Structured Query Language) Script was developed to evaluate the accuracy and duration of pre-and post-DSS triage decisions. In the second stage (pre-test), the accuracy and duration of pre-DSS triage decisions were evaluated. In the second stage, a DSS was prepared with rule-based decision trees method using the ESI and ATS algorithms and was integrated into the HIMS. In the third and last stage (post-test), the effect of the developed Emergency Triage Decision Support System (ETDSS) on triage management was evaluated against the accuracy and duration of triage decisions.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Data of adult patients who applied to the adult emergency department and whose triage record was opened by a triage nurse.
Patient data with no probable or definitive diagnosis of COVID-19.
Exclusion criteria
Data of pediatric trauma patients (under 18 years of age) Patient data for which the triage record was opened by non-nursing healthcare professionals Patient data recorded in triage by nurses who did not receive ATKDS, Emergency nurse triage, ESI, ATS training Data of patients who applied with a probable/definite diagnosis of COVID-19 and underwent PCR testing Patient data in the date range when extraordinary changes were made in the adult emergency department patient triage area and evaluation process due to the COVID 19 pandemic and the developed system could not be used (must use the SB COVID Algorithm)
Evaluating the impact of the developed Emergency Triage Decision Support System on triage management
Time frame: 8 weeks (triage decision' accuracy in eight-week hospital information management system data)
The effect of the decision support system on the triage decision accuracy
Time frame: 8 weeks (triage decision' duration in eight-week hospital information management system data)
The effect of decision support system on triage decision duration
Akdeniz University
Other
Effect of Computer-based Decision Support System on Emergency Triage Management
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.
Published trials that share one or more normalized conditions with this study.
NCT03926234
Disease Attributes, Emergencies
Hangzhou, China
View Trial DetailsNCT02980159
Disease Attributes, Emergencies
Geneva, Switzerland
View Trial DetailsNCT06887400
Abdominal Pain, Abdominal Pain (AP)
Sakarya, Adapazarı, Turkey (Türkiye)
View Trial DetailsNCT03793972
Disease Attributes, Emergencies
Deurne, Belgium
View Trial Details