Articles: emergency-services.
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J. Korean Med. Sci. · Feb 2024
Do Death Certificate Errors Decrease as Clinical Experience in an Emergency Department Increases?
This study aimed to evaluate the relationship between clinical experience and death certificate (DC) errors by analyzing DCs written by experienced emergency physicians (EPs). ⋯ DC errors did not decrease as clinical experience increased. Education to reduce DC errors and a feedback process for written DCs are necessary, regardless of clinical experience.
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Multicenter Study
Pulmonary Physician Consultancy in Emergency Services in Turkiye (PuPCEST) - a cross-sectional multicenter study.
Pulmonology is one of the branches that frequently receive consultation requests from the emergency department. Pulmonology consultation (PC) is requested from almost all clinical branches due to the diagnosis and treatment of any respiratory condition, preoperative evaluation, or postoperative pulmonary problems. The aim of our study was to describe the profile of the pulmonology consultations received from emergency departments in Turkiye. ⋯ The majority of patients were hospitalized and treated conservatively. It may be suggested that most of the applications would be evaluated in the pulmonology outpatient clinic which may result in a decrease in emergency department visits/consultations. Thus, improvements in the reorganization of the pulmonology outpatient clinics and follow-up visits may positively contribute emergency admission rates.
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J. Korean Med. Sci. · Feb 2024
Multicenter StudyEarly Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study.
Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department. ⋯ Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.