sig2db: a Workflow for Processing Natural Language from Prescription Instructions for Clinical Data Warehouses.


Journal

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
ISSN: 2153-4063
Titre abrégé: AMIA Jt Summits Transl Sci Proc
Pays: United States
ID NLM: 101539486

Informations de publication

Date de publication:
2020
Historique:
entrez: 2 6 2020
pubmed: 2 6 2020
medline: 2 6 2020
Statut: epublish

Résumé

We present sig2db as an open-source solution for clinical data warehouses desiring to process natural language from prescription instructions, often referred to as "sigs". In electronic prescribing, the sig is typically an unstructured text field intended to capture all requirements for medication administration. The sig captures certain fields that the structured data may lack such as days supply, time of day, or meal-time considerations. Our open-source software package facilitates the workflow needed to process sigs into a structured format usable by clinical data warehouses. Our solution focuses on extracting concepts from prescriptions in order to understand the intended semantics by leveraging known natural language processing tools. We demonstrate the utility of concept extraction from sigs and present our findings in processing 1023 unique sigs from 5.7 million unique prescriptions.

Identifiants

pubmed: 32477641
pmc: PMC7233058

Types de publication

Journal Article

Langues

eng

Pagination

221-230

Informations de copyright

©2020 AMIA - All rights reserved.

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Auteurs

Daniel R Harris (DR)

Institute for Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Kentucky, Lexington, Kentucky 40506.
Center for Clinical and Translational Sciences, University of Kentucky, Lexington, KY 40506.

Darren W Henderson (DW)

Center for Clinical and Translational Sciences, University of Kentucky, Lexington, KY 40506.

Alexandria Corbeau (A)

Center for Clinical and Translational Sciences, University of Kentucky, Lexington, KY 40506.

Classifications MeSH