Implementation of a pre-hospital decision rule in general practice: Triage of patients with suspected myocardial infarction [PDF]
E. W. M. Grijseels+6 more
openalex +1 more source
Therapeutic and triage strategies for 2019 novel coronavirus disease in fever clinics
Jinnong Zhang+5 more
semanticscholar +1 more source
Background Triage is a dynamic process prioritising the patient coming to the emergency department. Caring behaviour and patient safety during the triage process are essential for ensuring a good care experience and treatment outcome.
Zvonka Fekonja+5 more
doaj +1 more source
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments [PDF]
Emergency department (ED) overcrowding and the complexity of rapid decision-making in critical care settings pose significant challenges to healthcare systems worldwide. While clinical decision support systems (CDSS) have shown promise, the integration of large language models (LLMs) offers new possibilities for enhancing triage accuracy and clinical ...
arxiv
Effect of Continuous Quality Improvement Methods on Reducing Triage to Thrombolytic Interval for Acute Myocardial Infarction [PDF]
Scott P Krall+2 more
openalex +1 more source
Potential for False-Positive Results by the TRIAGE™ Panel of Drugs-of-Abuse Immunoassay [PDF]
Alphonse Poklis, Carol L. O'Neal
openalex +1 more source
Validity of Manual and Electronic Triage in Predicting Hospitalization in Critical Care Unit [PDF]
Background and objectives : The Electronic Triage System (ETS) has been recently developed and introduced to emergency department in the country. The present study aims to study its validity in predicting hospitalization in critical care unit and ...
Faramarz Pourasghar+2 more
doaj
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model [PDF]
To obtain high-quality annotations under limited budget, semi-automatic annotation methods are commonly used, where a portion of the data is annotated by experts and a model is then trained to complete the annotations for the remaining data. However, these methods mainly focus on selecting informative data for expert annotations to improve the model ...
arxiv