Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models.

Journal: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
PMID: 38567658

Abstract

BACKGROUND: 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.

Authors

  • Mark Iscoe
    Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Vimig Socrates
    Department for Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, United States; Program of Computational Biology and Bioinformaticsm Yale University, New Haven, CT, United States.
  • Aidan Gilson
    Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, CT, USA.
  • Ling Chi
    Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
  • Huan Li
    National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
  • Thomas Huang
    Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States; Department for Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, United States.
  • Thomas Kearns
    Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Rachelle Perkins
    Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Laura Khandjian
    Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • R Andrew Taylor
    Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.

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