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Use of a large language model (LLM) for ambulance dispatch and triage.

Am J Emerg Med

December 2024

Icahn School of Medicine at Mount Sinai, New York City, NY, United States of America; Department of Emergency Medicine, Mount Sinai Hospital, New York City, NY, United States of America.

Introduction: Large language models (LLMs) have grown in popularity in recent months and have demonstrated advanced clinical reasoning ability. Given the need to prioritize the sickest patients requesting emergency medical services (EMS), we attempted to identify if an LLM could accurately triage ambulance requests using real-world data from a major metropolitan area.

Methods: An LLM (ChatGPT 4o Mini, Open AI, San Francisco, CA, USA) with no prior task-specific training was given real ambulance requests from a major metropolitan city in the United States.

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Pre-hospital management of penetrating neck injuries: derivation of an algorithm through a National Modified Delphi.

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Article Synopsis
  • - The study highlights the importance of effective pre-hospital care for penetrating neck injuries (PNI) in the UK, noting a lack of established guidelines for managing such cases in resource-limited settings.
  • - A modified e-Delphi study was conducted with 28 subject matter experts who reached consensus on 19 key statements about PNI management, ultimately leading to the creation of a management algorithm.
  • - The goal of this consensus is to provide essential guidance for treating PNI in challenging situations, aiming to enhance patient outcomes through optimized care strategies.
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Blunt abdominal trauma in childhood has always been full of diagnostic and therapeutic challenges that have tested the clinical and radiological skills of pediatric surgeons and radiologists. Despite the guidelines and the studies carried out so far, to this day, there is no absolute consensus on certain points of view. Around the world, a paradigm shift towards non-operative treatment of hemodynamically stable children, with low complication rates, is noticeable.

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Background: The Extended Focused Assessment with Sonography for Trauma (E-FAST) is a diagnostic ultrasound technique used in hospital and pre-hospital settings for patients with torso trauma. While E-FAST is common in emergency departments, its pre-hospital use is less routine. This study aims to establish a set of variables for designing studies on pre-hospital E-FAST through a Delphi consensus process involving international experts.

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Background & objectives Injuries profoundly impact global health, with substantial deaths and disabilities, especially in low- and middle-income countries (LMICs). This paper presents strategic consensus from the Transdisciplinary Research, Advocacy, and Implementation Network for Trauma in India (TRAIN Trauma India) symposium, advocating for enhanced, system-level trauma care to address this challenge. Methods Five working groups conducted separate literature reviews on pre-hospital trauma care, in-hospital trauma resuscitation and training, trauma systems, trauma registries, and India's Towards Improving Trauma Care Outcomes (TITCO) registry.

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