Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors
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Emergency medical triage is crucial for prioritizing patient care in emergency situations, yet its effectiveness can vary significantly based on the experience and training of the personnel involved. This study aims to evaluate the efficacy of integrating Retrieval Augmented Generation (RAG) with Large Language Models (LLMs), specifically OpenAI's GPT models, to standardize triage procedures and reduce variability in emergency care. ⋯ The integration of RAG with LLMs shows promise in improving the accuracy and consistency of medical assessments in emergency settings. Further validation in diverse medical settings with broader datasets is necessary to confirm the effectiveness and adaptability of these technologies in live environments.
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The management of gastrointestinal (GI) hemorrhage in a prehospital setting presents significant challenges, particularly in arresting the hemorrhage and initiating resuscitation. This case report introduces a novel instance of prehospital whole blood transfusion to an 8-year-old male with severe lower GI hemorrhage, marking a shift in prehospital pediatric care. The patient, with no previous significant medical history, presented with acute rectal bleeding, severe hypotension (systolic/diastolic blood pressure [BP] 50/30 mmHg), and tachycardia (148 bpm). ⋯ Upon hospital admission, a Meckel's diverticulum was identified as the bleeding source, and it was successfully surgically resected. The patient's recovery was ultimately favorable, highlighting the importance of rapid, prehospital intervention and the potential role of whole blood transfusion in managing acute pediatric GI hemorrhage. This case supports the notion of advancing EMS protocols to include interventions historically reserved for the hospital setting that may significantly impact patient outcomes from the field.