Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Review Meta Analysis
Interventions to improve emergency department throughput and care delivery indicators: A systematic review and meta-analysis.
Emergency department (ED) crowding has repercussions on acute care, contributing to prolonged wait times, length of stay, and left without being seen (LWBS). These indicators are regarded as systemic shortcomings, reflecting a failure to provide equitable and accessible acute care. The objective was to evaluate the effectiveness of interventions aimed at improving ED care delivery indicators. ⋯ Operational strategies such as POC testing and triage liaison physicians could mitigate the impact of ED crowding and appear to be effective. The current evidence supports these strategies when tailored to the appropriate practice environment.
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Review Meta Analysis
Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.
Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employing NLP to identify and categorize unstructured data within the emergency medicine (EM) setting. ⋯ Our analysis revealed a generally favorable performance accuracy in using NLP within EM research, particularly in the realm of radiologic interpretation. Consequently, we advocate for the adoption of NLP-based research to augment EM health care management.
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Review Meta Analysis
Using natural language processing in emergency medicine health service research: A systematic review and meta-analysis.
Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employing NLP to identify and categorize unstructured data within the emergency medicine (EM) setting. ⋯ Our analysis revealed a generally favorable performance accuracy in using NLP within EM research, particularly in the realm of radiologic interpretation. Consequently, we advocate for the adoption of NLP-based research to augment EM health care management.
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Review Meta Analysis
Assessing the one-month mortality impact of civilian-setting prehospital transfusion: A systematic review and meta-analysis.
Based on convincing evidence for outcomes improvement in the military setting, the past decade has seen evaluation of prehospital transfusion (PHT) in the civilian emergency medical services (EMS) setting. Evidence synthesis has been challenging, due to study design variation with respect to both exposure (type of blood product administered) and outcome (endpoint definitions and timing). The goal of the current meta-analysis was to execute an overarching assessment of all civilian-arena randomized controlled trial (RCT) evidence focusing on administration of blood products compared to control of no blood products. ⋯ Current evidence does not demonstrate 1-month mortality benefit of civilian-setting PHT. This should give pause to EMS systems considering adoption of civilian-setting PHT programs. Further studies should not only focus on which formulations of blood products might improve outcomes but also focus on which patients are most likely to benefit from any form of civilian-setting PHT.