Recovery Medication from Free Text to a Structured Form.

Journal: Studies in health technology and informatics
Published Date:

Abstract

We studied methods to convert medical prescriptions in free text to a structured form for pharmacy insructions and planning nursing activities in hospitalized patients. We compared Natural Language Processing (NLP) with Parsing Process (PP), both for the Spanish language. We studied 87,750 and processed 65,000 prescriptions and recovered 62% and 65% with NLP and PP to a structured format respectively. The difference between the methods is significant (p < 0.001) and further work is needed to determine if combining them will have higher performance.

Authors

  • Humberto Fernán Mandirola Brieux
    Sanatorio Otamendi, Buenos Aires, Argentina.
  • Santiago Orozco
    Sanatorio Otamendi, Buenos Aires, Argentina.
  • Marisa Lanfranconi
    Sanatorio Otamendi, Buenos Aires, Argentina.
  • Jorge De All
    Sanatorio Otamendi, Buenos Aires, Argentina.
  • Nahin Chedresse
    Hospital Naval Puerto Belgrano (HNPB), Argentina.
  • Sebastián Guillen
    BIOCOM Sistemas, Argentina.
  • Alejandro Deporte
    BIOCOM Sistemas, Argentina.