Document Detail


PASTE: patient-centered SMS text tagging in a medication management system.
MedLine Citation:
PMID:  21984605     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages.
DESIGN: Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages.
MEASUREMENTS: A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages.
RESULTS: Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%.
CONCLUSION: Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages.
Authors:
Shane P Stenner; Kevin B Johnson; Joshua C Denny
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-10-08
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  19     ISSN:  1527-974X     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2012 May-Jun
Date Detail:
Created Date:  2012-04-11     Completed Date:  2012-08-20     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  368-74     Citation Subset:  IM    
Affiliation:
Department of Biomedical Informatics, Vanderbilt University, School of Medicine, Nashville, Tennessee, USA. shane.stenner@vanderbilt.edu
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MeSH Terms
Descriptor/Qualifier:
Drug Therapy, Computer-Assisted
Electronic Health Records
Feasibility Studies
Humans
Information Storage and Retrieval*
Medication Systems*
Natural Language Processing*
Patient-Centered Care / methods
Pilot Projects
Reminder Systems
Text Messaging*
User-Computer Interface
Grant Support
ID/Acronym/Agency:
5 T15 LM007450-09/LM/NLM NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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