Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

Journal: International journal of medical informatics
Published Date: May 1, 2017

Abstract

BACKGROUND: Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e.g. radiation). To assess the appropriateness of imaging utilization at the provider level, it is important to know that provider's diagnostic yield (percentage of tests positive for the diagnostic entity of interest). However, determining diagnostic yield typically requires either time-consuming, manual review of radiology reports or the use of complex and/or proprietary natural language processing software.

Authors

  • Jordan Swartz
    New York University School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States. Electronic address: Jordan.Swartz@nyumc.org.
  • Christian Koziatek
    New York University School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States.
  • Jason Theobald
    Department of Emergency Medicine, Mount Sinai West Hospital, Mount Sinai St Luke's Hospital, New York, NY, United States.
  • Silas Smith
    New York University School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States.
  • Eduardo Iturrate
    New York University School of Medicine, Department of Internal Medicine, New York, NY, United States.

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