Natural language processing and String Metric-assisted Assessment of Semantic Heterogeneity method for capturing and standardizing unstructured nursing activities in a hospital setting: a retrospective study.

Journal: Annali di igiene : medicina preventiva e di comunita
Published Date: Apr 12, 2022

Abstract

BACKGROUND: Nurses record data in electronic health records (EHRs) using different terminologies and coding systems. The purpose of this study was to identify unstructured free-text nursing activities recorded by nurses in EHRs with natural language processing (NLP) techniques and to map these nursing activities into standard nursing activities using the SMASH method.

Authors

  • M Vanalli
    Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
  • M Cesare
    Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
  • A Cocchieri
    Fondazione Policlinico Universitario A. Gemelli IRCCS, University of Catholic Sacred Heart, Rome, Italy.
  • F D'Agostino
    Unicamillus, Saint Camillus International University of Health Sciences, Rome, Italy.

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