Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions

Stud Health Technol Inform. 2019 Aug 21:264:1568-1569. doi: 10.3233/SHTI190538.


In this study, we sought to develop an automatic parser tool for unstructured free-text electronic prescriptions, focusing specifically on defining the daily dose. We manually coded a set of electronic discharge prescriptions and established the most reliable rules to structure the medication data. A named-entity recognition (NER) parser tool was implemented, which was capable of identifying 90% of the doses and 86% of the frequencies from 255 dosage instructions.

Keywords: Electronic Prescribing; Natural Language Processing; Prescription Drugs.

MeSH terms

  • Electronic Prescribing*
  • Software