Articles: emergency-medical-services.
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The present study analyses Oceania's protest and conflict events (2021-2022) to aid healthcare systems better understand the scope of the issue. ⋯ Australia faced pandemic-related protests; Papua New Guinea grappled with tribal violence, posing healthcare challenges. A comprehensive approach emphasising disaster preparedness, regional cooperation and addressing root causes is crucial to bolster healthcare systems.
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While ambulance transport decisions guided by artificial intelligence (AI) could be useful, little is known of the accuracy of AI in making patient diagnoses based on the pre-hospital patient care report (PCR). The primary objective of this study was to assess the accuracy of ChatGPT (OpenAI, Inc., San Francisco, CA, USA) to predict a patient's diagnosis using the PCR by comparing to a reference standard assigned by experienced paramedics. The secondary objective was to classify cases where the AI diagnosis did not agree with the reference standard as paramedic correct, ChatGPT correct, or equally correct. ⋯ In this study, overall accuracy of ChatGPT to diagnose patients based on their emergency medical services PCR was 75.0%. In cases where the ChatGPT diagnosis was considered less likely than paramedic diagnosis, most commonly the AI diagnosis was more critical than the paramedic diagnosis - potentially leading to over-triage. The under-triage rate was less than 1%.
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Opioids kill tens of thousands of patients each year. While only a fraction of people with opioid use disorder (OUD) have accessed treatment in the last year, 30% of people who died from an overdose had an Emergency Medical Services (EMS) encounter within a year of their death. Prehospital buprenorphine represents an important emerging OUD treatment, yet limited data describe barriers to this treatment. Our objectives were to quantify the number of patients encountered by EMS who were eligible for prehospital buprenorphine, and to examine characteristics of patients who did or did not receive treatment. ⋯ One-in-three EMS patients with suspected opioid use disorder were ineligible for treatment with buprenorphine due to altered mental status. The second largest group consisted of patients who were eligible but not offered buprenorphine, highlighting potential gaps in paramedic training, logistical challenges in field administrations, and other factors that warrant further exploration.
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In out-of-hospital cardiac arrest (OHCA), prehospital time is crucial and can be divided into response time, from emergency call to emergency medical service (EMS) contact, and time from EMS contact to hospital arrival. To improve prehospital strategies for pediatric OHCA, it is essential to understand the association between these time intervals and patient outcomes; however, detailed investigations are lacking. The current study aimed to examine the association between response time and time from EMS contact to hospital arrival as well as survival and neurological outcomes in pediatric OHCA. ⋯ A response time of <15 minutes can be associated with better survival and neurological outcomes. However, there is no significant association between time from EMS contact to hospital arrival as well as survival and favorable neurological outcomes.
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Structured data fields, including medication fields involving naloxone, are routinely used to identify opioid overdoses in emergency medical services (EMS) data; between January 2021 and March 2024, there were approximately 1.2 million instances of naloxone administration in the United States. To improve the accuracy of naloxone reporting, we developed methodology for identifying naloxone administration using both structured fields and unstructured patient care narratives for events documented by EMS. ⋯ An additional 115 (26.3%) patients receiving naloxone were identified by using unstructured case narratives compared to structured data. New surveillance methods that incorporate unstructured EMS narratives are critically needed to avoid substantial underestimation of naloxone utilization and enumeration of opioid overdoses.