Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Journal: Anesthesiology
PMID: 32028374

Abstract

BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language processing, offer opportunities to develop classification tools for Current Procedural Terminology codes across anesthesia procedures.

Authors

  • Michael L Burns
    Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
  • Michael R Mathis
  • John Vandervest
  • Xinyu Tan
  • Bo Lu
    Department of Radiation Oncology, University of Florida, Gainesville, FL, USA.
  • Douglas A Colquhoun
  • Nirav Shah
  • Sachin Kheterpal
    Department of Anesthesiology, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Leif Saager

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