Natural Language Mapping of Electrocardiogram Interpretations to a Standardized Ontology.

Journal: Methods of information in medicine
Published Date: Oct 5, 2021

Abstract

BACKGROUND: Interpretations of the electrocardiogram (ECG) are often prepared using software outside the electronic health record (EHR) and imported via an interface as a narrative note. Thus, natural language processing is required to create a computable representation of the findings. Challenges include misspellings, nonstandard abbreviations, jargon, and equivocation in diagnostic interpretations.

Authors

  • Richard H Epstein
    Department of Anesthesiology, Perioperative Medicine and Pain Management, University of Miami Miller School of Medicine, Miami, Florida, United States.
  • Yuel-Kai Jean
    Department of Anesthesiology, Perioperative Medicine and Pain Management, University of Miami Miller School of Medicine, Miami, Florida, United States.
  • Roman Dudaryk
    Department of Anesthesiology, Perioperative Medicine and Pain Management, University of Miami Miller School of Medicine, Miami, Florida, United States.
  • Robert E Freundlich
    Anesthesiology Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Jeremy P Walco
    Anesthesiology Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Dorothee A Mueller
    Anesthesiology Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Shawn E Banks
    Department of Anesthesiology, Perioperative Medicine and Pain Management, University of Miami Miller School of Medicine, Miami, Florida, United States.

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