Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data
- PMID: 38805230
- PMCID: PMC11134210
- DOI: 10.1001/jamanetworkopen.2024.13208
Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data
Plain language summary
This cross-sectional study assesses the accuracy, sensitivity, and specificity of a large language model used to process unstructured, non-English emergency department (ED) data in medical records.
Conflict of interest statement
References
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- Peden M, Oyebite K, Ozanne-Smith J, et al. , eds. World Report on Child Injury Prevention. World Health Organization; 2008. - PubMed
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- Rudnytskyi I. Openai: R wrapper for OpenAI API. R package version 0.4.1. Accessed April 15, 2024. https://github.com/irudnyts/openai
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