Natural language processing to identify and characterize spondyloarthritis in clinical practice.

Journal: RMD open
PMID: 38796183

Abstract

OBJECTIVE: This study aims to use a novel technology based on natural language processing (NLP) to extract clinical information from electronic health records (EHRs) to characterise the clinical profile of patients diagnosed with spondyloarthritis (SpA) at a large-scale hospital.

Authors

  • Diego Benavent
    SAVANA Research S.L., Calle de Larra 12, Madrid 28013, Spain.
  • María Benavent-Núñez
    Savana Research S.L, Madrid, Spain.
  • Judith Marín-Corral
    SAVANA Research S.L., Madrid, Spain.
  • Javier Arias-Manjón
    Medsavana S.L, Madrid, Spain.
  • Victoria Navarro-Compán
    Rheumatology, Hospital Universitario La Paz, Madrid, Spain.
  • Miren Taberna
    SAVANA Research S.L., Madrid, Spain.
  • Ignacio Salcedo
    Medsavana S.L, Madrid, Spain.
  • Diana Peiteado
    Rheumatology, Hospital Universitario La Paz, Madrid, Spain.
  • Loreto Carmona
    Instituto de Salud Musculoesquelética, Madrid, Spain.
  • Eugenio de Miguel
    Rheumatology, Hospital Universitario La Paz, Madrid, Spain.

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