Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.

Journal: Journal of vascular surgery
PMID: 36328142

Abstract

BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. Patients and/or providers are frequently unaware of these AAA and the need for long-term follow-up. We sought to evaluate the outcome of a nurse-navigator-run AAA program that uses a natural language processing (NLP) algorithm applied to the electronic medical record (EMR) to identify patients with imaging report-identified AAA not being followed actively.

Authors

  • Laura T Boitano
    UMass Chan Medical School, Worcester, MA. Electronic address: laura.boitano@umassmed.edu.
  • Gabrielle DeVivo
    UMass Chan Medical School, Worcester, MA.
  • Devon I Robichaud
    UMass Chan Medical School, Worcester, MA.
  • Steven Okuhn
    Division of Vascular Surgery, Department of Surgery, Veterans Affairs San Francisco Healthcare System, San Francisco, Calif; Division of Vascular Surgery, Department of Surgery, University of California, San Francisco, San Francisco, Calif.
  • Robert C Steppacher
    UMass Chan Medical School, Worcester, MA.
  • Jessica P Simons
    UMass Chan Medical School, Worcester, MA.
  • Francesco A Aiello
    UMass Chan Medical School, Worcester, MA.
  • Douglas Jones
    UMass Chan Medical School, Worcester, MA.
  • Dejah Judelson
    UMass Chan Medical School, Worcester, MA.
  • Tammy Nguyen
    UMass Chan Medical School, Worcester, MA.
  • Caitlin Sorensen
    UMass Chan Medical School, Worcester, MA.
  • Andres Schanzer
    UMass Chan Medical School, Worcester, MA.

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