Articles: emergency-medical-services.
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Psychiatric conditions are one of the leading non-battle injury diseases resulting in medical evacuation (MEDEVAC) from combat environments. The challenge of limited MEDEVAC capability necessitating prolonged field care in future large-scale combat operations must be addressed. Therefore, a robust program is needed to address frontline care of behavioral health (BH), maximizing service members returning to duty and minimizing MEDEVAC. This review summarizes the literature on the impacts of the Emergency Psychiatric Assessment, Treatment, and Healing (EmPATH) Unit program as a solution to the challenges of treating behavioral health in future wars. ⋯ This is the first literature review to consider EmPATH units for psychiatric prolonged field care based on its advantages demonstrated in the civilian sector. Studies have yet to be done on EmPATH units' usefulness in the military, showing a knowledge gap in current evidence supporting its suitability. Thus, this review recommends further studies of EmPATH units in military settings, especially prolonged field care environments.
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Observational Study
Evaluation of the prehospital administration of tranexamic acid for injured patients: a state-wide observational study with sex and age-disaggregated analysis.
Tranexamic acid (TXA) decreases mortality in injured patients and should be administered as soon as possible. Despite international guidelines recommending TXA in the prehospital setting, its use remains low. The aim of this study was to assess the prehospital administration of TXA for injured patients in a Swiss region. ⋯ The proportion of injured patients receiving TXA in the prehospital setting of the State of Vaud in Switzerland was low, with even lower rates for women and older patients. The reasons for this undertreatment are probably multifactorial and would require specific studies to clarify and correct them.
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The outcomes of patients who call an ambulance but are discharged at scene reflect the safety and quality of emergency medical service (EMS) care. While previous studies have examined the outcomes of patients discharged at scene, none have specifically focused on paramedic-initiated discharge. This study aims to describe the outcomes of adult patients discharged at scene by paramedics and identify factors associated with 72-hour outcomes. ⋯ The occurrence of hospital admission and adverse events is rare in those discharged at scene, suggesting generally safe decision-making. However, increased attention to elderly, multimorbid patients or patients with infection and pain is recommended, as is further research examining the use of tools to aid paramedic recognition of potential for deterioration.
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This study assesses the feasibility, inter-rater reliability, and accuracy of using OpenAI's ChatGPT-4 and Google's Gemini Ultra large language models (LLMs), for Emergency Medical Services (EMS) quality assurance. The implementation of these LLMs for EMS quality assurance has the potential to significantly reduce the workload on medical directors and quality assurance staff by automating aspects of the processing and review of patient care reports. This offers the potential for more efficient and accurate identification of areas requiring improvement, thereby potentially enhancing patient care outcomes. ⋯ Large language models demonstrate potential in supporting quality assurance by effectively and objectively extracting data elements. However, their accuracy in interpreting non-standardized and time-sensitive details remains inferior to human evaluators. Our findings suggest that current LLMs may best offer supplemental support to the human review processes, but their current value remains limited. Enhancements in LLM training and integration are recommended for improved and more reliable performance in the quality assurance processes.