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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… Click to show full abstract
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:
text electronic;
method extracting;
electronic prescriptions;
free text;
development method
Journal Title: Studies in health technology and informatics
Year Published: 2019
Link to full text (if available)
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Journal Title: Studies in health technology and informatics
Year Published: 2019
Link to full text (if available)
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recommendations!