Result: Use of natural language programming to extract medication from unstructured electronic medical records

Title:
Use of natural language programming to extract medication from unstructured electronic medical records
Authors:
David, Chhieng, Timothy, Day, Geoff, Gordon, Joan, Hicks
Source:
AMIA ... Annual Symposium proceedings. AMIA Symposium.
Publisher Information:
2008.
Publication Year:
2008
Subject Terms:
03 medical and health sciences, 0302 clinical medicine, Medical Records Systems, Computerized, Pharmaceutical Preparations, Feasibility Studies, Information Storage and Retrieval, Algorithms, 3. Good health, Natural Language Processing
Document Type:
Academic journal Article
Language:
English
ISSN:
1942-597X
Access URL:
https://pubmed.ncbi.nlm.nih.gov/18694008
Accession Number:
edsair.pmid..........2f9e810557ec32a227c2f3e5360fcce3
Database:
OpenAIRE

Further Information

The purpose of this study is to evaluate the feasibility of applying natural language processing in the automated extraction of medications information from unstructured electronic records. Sixty-two documents containing medications were subjected to both manual and automated extraction. Both were able to identify over 90% medications. The automated method identified more medications than manual review, 97% vs 92%. However, the automated extraction included a substantial percentage (17%) of non-medication items but none with manual review.