Articles: emergency-services.
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Emerg Med Australas · Aug 2024
Reducing medication errors on emergency department discharge: Evaluation of a collaborative pharmacist-medical officer discharge prescription planning model in a tertiary hospital emergency short stay unit.
To implement and evaluate the impact of a collaborative pharmacist-medical officer model of planning discharge prescriptions, Partnered Pharmacist Discharge Prescription Planning (PPDPP) on the safe use of medicines on discharge in an ED short stay unit (SSU). ⋯ The PPDPP model improved medications safety on discharge from the ED SSU. The PPDPP did not impact patient flow parameters as measured in this study.
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Emerg Med Australas · Aug 2024
A cohort profile of children and adolescents who had a suicide-related contact with police or paramedics in Queensland (Australia).
Suicide is a leading cause of death in children and adolescents worldwide and a major public health concern. While suicidal behaviours place a significant demand on mental health and emergency services, data regarding suicide-related contacts with police and paramedics are an underutilised resource. The aim of the present study was to identify the demographic profile of young individuals (aged 5-17) and had a suicide-related contact with police or paramedics in Queensland (Australia). ⋯ Findings provide a comprehensive profile of children and adolescents in suicidal crisis and highlight the substantial number of interactions that occur with police and paramedics. Due to the way the linked dataset was constructed, it must be assumed that the number of young persons in suicidal crisis is higher. Findings highlight the value of considering pre-hospital alternatives to presenting to emergency departments (EDs) for this cohort, to reduce impost on EDs and improve outcomes. Further examination of re-presentations by young persons is warranted to inform prevention and intervention strategies.
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Sepsis is a life-threatening condition but predicting its development and progression remains a challenge. ⋯ Primary infection sites including LRI and UTI were significantly associated with sepsis development, hospitalization, length of stay, and mortality among patients presenting with infections in the ED.
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Emergency department (ED) overcrowding presents a global challenge that inhibits prompt care for critically ill patients. Traditional 5-level triage system that heavily rely on the judgment of the triage staff could fail to detect subtle symptoms in critical patients, thus leading to delayed treatment. Unlike previous rivalry-focused approaches, our study aimed to establish a collaborative machine learning (ML) model that renders risk scores for severe illness, which may assist the triage staff to provide a better patient stratification for timely critical cares. ⋯ The traditional 5-level triage system often falls short, leading to under-triage of critical patients. Our models include a score-based differentiation within a triage level to offer advanced risk stratification, thereby promoting patient safety.