Loading clinical trials...
Loading clinical trials...
Showing 1-8 of 8 trials
NCT07312968
Artificial intelligence, and in particular Graph Neural Networks (GNNs), have shown enormous potential in the analysis of complex clinical data. Thanks to their ability to model relationships between variables, GNNs represent a significant evolution compared to traditional models, enabling better interpretation of medical information and supporting data-driven decision-making in complex contexts such as emergency medicine. The application of GNNs to clinical triage and to the prediction of length of stay can improve clinical efficiency by optimizing resource allocation and patient management. This observational study aims to evaluate the accuracy of predictions with respect to real clinical data, contributing to the development of advanced predictive tools to support healthcare decision-making processes.
NCT06666647
The overall aim of this retrospective observational study is to investigate the association of emergency medical services response time with patient survival and treatment outcomes. The main question it aims to answer is: What is the association between response time and patient survival? The investigators will collect data for all patients who were treated by ambulance and/or helicopter services in Denmark and follow the patient's path from illness or injury to discharge from hospital with a focus on the significance of ambulance and helicopter response time.
NCT07054151
This observational study aims to determine the correlation between capillary refill time (CRT) and vital parameters in patients presenting to the emergency department. It explores whether CRT is associated with triage categories and vital signs in non-traumatic patients, including oxygen saturation (SpO₂), heart rate, systolic and diastolic blood pressure, body temperature, forearm temperature, and respiratory rate. Patients admitted to the emergency department of a training and research hospital were assigned triage codes (green, yellow, red). Their CRT was measured three times, and vital signs were recorded accordingly.
NCT04923308
Almost everyone will have low back pain (LBP) at some point in their lives. LBP is a complex multifactorial condition for which diagnosis and clinical management remains a challenge. Factors such as wait times, delays in diagnosis or proper referral can result in Canadian patients having difficulty getting the care that they need. The overall objective of this project is to explore how chiropractors, who specialize in the diagnosis and clinical management of spinal conditions, can transform healthcare trajectories and improve the health of patients with LBP by integrating medical specialist team.To do so, patients with low back pain seeking medical care within the public health system will be first seen by chiropractors. Chiropractors will play a key role in identifying the type of low back pain and subsequently offering guidance to medical specialists with regard to the best treatment and management options that are currently recommended. Participating patients will be followed over a year while extensive health-related data will be collected and compared to non-triage patients with LBP.
NCT06887400
Introduction and Objective: This study aimed to reveal the effect of classical triage and Bedside Focused Ultrasonography (POCUS) in addition to classical triage on diagnosis, treatment, emergency department follow-up and its relationship with triage models in patients presenting to the emergency department with abdominal pain complaints. METHOD: This randomized, controlled, prospective study was conducted with a total of 262 volunteer participants who were divided into two groups as 127 classical triage and 135 POCUS in addition to classical triage with non-traumatic abdominal pain. The decision of which participant would be included in which group was made at a 1:1 ratio using a computer-aided randomization table. The researcher did not intervene in the clinical processes in any way. In this study, the effect of POCUS application performed in addition to classical triage on clinical processes (imaging request, initial analgesia administration time, consultation request, emergency department stay and outcome) in the primary outcome and on triage systems in the secondary outcome were evaluated. IBM SPSS 21.0 software was used for statistical analysis of the data.
NCT01434433
This study will evaluate method correlation and mean bias between six B-type natriuretic peptide (BNP) platforms.
NCT03926234
Inter-rater reliability between experts and triage nurses was assessed in 484 emergency patients. The criterion-related validity was evaluated in other 30687 emergency patients, based on emergency department (ED) mortality, the length of stay in ED, the number of discharge, and hospitalization (intensive care/general ward).
NCT03401411
The primary objective of this study is aimed at analyzing the ICU triage practices of clinicians at a cancer hospital with and without the use of an algorithm-based triage tool, and to assess whether or not the triage tool improves the consensus amongst practioners on the prioritization of patients for ICU admission. Secondary objectives include assessment of whether or not triage practices based on guidelines correlate with what is done in actual practice.