Objectives: To describe the process of implementing the Spanish Triage System (SET, in its Spanish abbreviation) in nonspecialist hospital emergency departments (EDs) in the public health service.
Material And Methods: Multicenter cross-sectional study at 4 time cut-points (6 months before implementation and at the end of 1, 2 and 3 semesters afterwards). The study was carried out in 29 public hospital EDs in Andalusia. We recorded the following data: type of hospital, proportion of cases in which the SET was applied, priority classifications assigned on triage, wait time before triage, and duration of the triage process. We also recorded the following proportions: patients waiting less than 10 minutes for the assigned priority, cases with a triage processing time less than 5 minutes, ED revisits within 72 hours, ED deaths, and patients leaving before discharge.
Results: We saw SET use increase progressively over the 3 semesters. The mean wait time decreased, and the proportion of patients waiting less than 10 minutes increased. The mean triage processing time tended to decrease nonsignificantly as the proportion of cases triaged in less than 5 minutes rose. The proportion of patients leaving before discharge increased with time; in overall and by hospital type. The proportion of ED deaths did not change significantly, and revisits within 72 hours increased only in more complex hospitals (P = .019).
Conclusion: Implementing a structured triage approach like SET is a gradual process. Quality indicators must be followed over time so that the impact of a triage system on ED care processes can be assessed.
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BMJ Open Gastroenterol
December 2024
Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia
Objective: Non-alcoholic fatty liver disease (NAFLD) is estimated to affect a third of Australian adults, and its prevalence is predicted to rise, increasing the burden on the healthcare system. The LOCal Assessment and Triage Evaluation of Non-Alcoholic Fatty Liver Disease (LOCATE-NAFLD) trialled a community-based fibrosis assessment service using FibroScan to reduce the time to diagnosis of high-risk NAFLD and improve patient outcomes.
Methods: We conducted a 1:1 parallel randomised trial to compare two alternative models of care for NAFLD diagnosis and assessment.
Diagnostics (Basel)
December 2024
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan City 333423, Taiwan.
Background/objectives: To develop and validate a model system using deep learning algorithms for the automatic detection of type A aortic dissection (AD), and differentiate it from normal and type B AD patients.
Methods: In this retrospective study, a deep learning model is developed, based on aortic computed tomography angiography (CTA) scans of 498 patients using training, validation and test sets of 398, 50 and 50 patients, respectively. An independent test set of 316 patients is used to validate and evaluate its performance.
PLoS One
January 2025
Division of Emergency Medicine, University of Cape Town, Cape Town, South Africa.
To validate Palestine's previously derived emergency department quality standards (EDQS) using an e-Delphi survey. A two-round e-Delphi survey validated the EDQS, developed in an earlier study through a literature review and consensus-building among Palestinian emergency medicine and healthcare quality experts. The study purposively sampled 53 emergency department and healthcare quality experts with over 5 years of experience.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Institute for Research in Operative Medicine (IFOM), Faculty of Health, School of Medicine, Witten/Herdecke University, Ostmerheimer Str. 200, 51109, Cologne, Germany.
Purpose: Our aim was to generate evidence- and consensus-based recommendations for the management of mass casualty incidents (MCIs) based on current evidence. This guideline topic is part of the 2022 update of the German guideline on the treatment of patients with severe/multiple injuries.
Methods: MEDLINE and Embase were systematically searched to August 2021.
PLOS Digit Health
January 2025
Clinical Care & Research, ORTEC B.V., Zoetermeer, The Netherlands.
Precision, or personalised medicine has advanced requirements for medical data management systems (MedDMSs). MedDMS for precision medicine should be able to process hundreds of parameters from multiple sites, be adaptable while remaining in sync at multiple locations, real-time syncing to analytics and be compliant with international privacy legislation. This paper describes the LogiqSuite software solution, aimed to support a precision medicine solution at the patient care (LogiqCare), research (LogiqScience) and data science (LogiqAnalytics) level.
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