Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
-
To describe the frequency and observed trends for all Indian Health Service (IHS) and tribal emergency department (ED) transfers to a pediatric referral center from January 1, 2017, to December 31, 2020, with a secondary analysis to describe trends in final dispositions, lengths of stay (LOS), and the most common primary ICD-10 diagnoses. ⋯ This study addresses important knowledge gaps regarding transfers from IHS and tribal EDs, highlights potential high-impact areas for pediatric readiness, and emphasizes the need for more granular data to inform resource allocation and educational interventions. Further studies are needed to delineate potentially avoidable transfers seen within this population.
-
Natural language processing (NLP) tools including recently developed large language models (LLMs) have myriad potential applications in medical care and research, including the efficient labeling and classification of unstructured text such as electronic health record (EHR) notes. This opens the door to large-scale projects that rely on variables that are not typically recorded in a structured form, such as patient signs and symptoms. ⋯ The study demonstrated the utility of LLMs and transformer-based models in particular for extracting UTI symptoms from unstructured ED clinical notes; models were highly accurate for detecting the presence or absence of any UTI symptom on the note level, with variable performance for individual symptoms.