Development and Validation of a Natural Language Processing Model to Identify Low-Risk Pulmonary Embolism in Real Time to Facilitate Safe Outpatient Management.

Journal: Annals of emergency medicine
PMID: 38441514

Abstract

STUDY OBJECTIVE: This study aimed to (1) develop and validate a natural language processing model to identify the presence of pulmonary embolism (PE) based on real-time radiology reports and (2) identify low-risk PE patients based on previously validated risk stratification scores using variables extracted from the electronic health record at the time of diagnosis. The combination of these approaches yielded an natural language processing-based clinical decision support tool that can identify patients presenting to the emergency department (ED) with low-risk PE as candidates for outpatient management.

Authors

  • Krunal D Amin
    Department of Medicine, Duke University School of Medicine, Durham, NC. Electronic address: krunal.amin@duke.edu.
  • Elizabeth Hope Weissler
    Department of Surgery, Duke University School of Medicine, Durham, NC.
  • William Ratliff
    Duke Institute for Health Innovation, Durham, NC, United States.
  • Alexander E Sullivan
    Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN.
  • Tara A Holder
    Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Cathleen Bury
    Department of Surgery, Duke University School of Medicine, Durham, NC.
  • Samuel Francis
    Department of Surgery, Duke University School of Medicine, Durham, NC.
  • Brent Jason Theiling
    Department of Surgery, Duke University School of Medicine, Durham, NC.
  • Bradley Hintze
    Duke Institute for Health Innovation, Durham, NC.
  • Michael Gao
    Duke Institute for Health Innovation.
  • Marshall Nichols
    Duke Institute for Health Innovation, Durham, North Carolina.
  • Suresh Balu
    Duke Institute for Health Innovation.
  • WIlliam Schuyler Jones
    Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
  • Mark Sendak
    Duke Institute for Health Innovation.

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