Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
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Disparities in health outcomes, including increased chronic disease prevalence and decreased life expectancy for Indigenous people, have been shown across settings affected by white settler colonialism including Canada, the United States, Australia, and New Zealand. Emergency departments (EDs) represent a unique setting in which urgent patient need and provider strain interact to amplify inequities within society. The aim of this scoping review was to map the ED-based interventions aimed at improving equity in care for Indigenous patients in EDs. ⋯ Relatively few interventions for improving equity in care were identified. We found that a minority of interventions are aimed at creating organizational-level change and suggest that future interventions could benefit from targeting system-level changes as opposed to or in addition to incorporating new roles in EDs.
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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.