Article

OHCA-EXTRACT: Evaluating the Accuracy of a Large Language Model Pipeline for Out-of-Hospital Cardiac Arrest Case Identification and Utstein Variable Extraction

2026-07-01

Abstract excerpt

<h4>Background</h4> Manual identification and abstraction of out-of-hospital cardiac arrest (OHCA) cases and Utstein template variables from electronic health records is resource-intensive and limits scalable measurement for observational research and registry participation. We evaluated a large language model (LLM)–assisted pipeline to identify true OHCA encounters within an ICD-coded emergency department (ED) c...

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Literature Corpus work: b721aecc-c3e7-5822-9bad-1306aa91c7a8
DOI: 10.64898/2026.06.29.26356890

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