Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning.

Journal: World journal of otorhinolaryngology - head and neck surgery
Published Date: May 28, 2024

Abstract

OBJECTIVES: Documentation and billing are important and time-consuming parts of an otolaryngologist's work. Given advancements in machine learning (ML), we evaluated the ability of ML algorithms to use operative notes to classify rhinology procedures by Current Procedural Terminology (CPT®) code. We aimed to assess the potential for ML to replicate rhinologists' completion of their administrative tasks.

Authors

  • Christopher P Cheng
    Department of Otolaryngology-Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Ryan Sicard
    Department of Medical Education Icahn School of Medicine at Mount Sinai New York New York USA.
  • Dragan Vujovic
    Department of Medical Education Icahn School of Medicine at Mount Sinai New York New York USA.
  • Vikram Vasan
    Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Chris Choi
    Department of Otolaryngology Icahn School of Medicine at Mount Sinai New York New York USA.
  • David K Lerner
    Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Alfred-Marc Iloreta
    Department of Otolaryngology Icahn School of Medicine at Mount Sinai New York New York USA.

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