Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing.

Journal: Frontiers in rehabilitation sciences
Published Date:

Abstract

BACKGROUND: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR). Leveraging this information to improve clinical decision-making and conduct research requires natural language processing (NLP) technologies to identify and organize the information recorded in clinical documentation.

Authors

  • Denis Newman-Griffis
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Jonathan Camacho Maldonado
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Pei-Shu Ho
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Maryanne Sacco
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Rafael Jimenez Silva
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Julia Porcino
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
  • Leighton Chan
    Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.

Keywords

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