Document Detail


Structured vs. Unstructured: Factors Affecting Adverse Drug Reaction Documentation in an EMR Repository.
MedLine Citation:
PMID:  22195188     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Adverse reactions to medications to which the patient was known to be intolerant are common. Electronic decision support can prevent them but only if history of adverse reactions to medications is recorded in structured format.We have conducted a retrospective study of 31,531 patients with adverse reactions to statins documented in the notes, as identified with natural language processing. The software identified statin adverse reactions with sensitivity of 86.5% and precision of 91.9%. Only 9020 of these patients had an adverse reaction to a statin recorded in structured format. In multivariable analysis the strongest predictor of structured documentation was utilization of EMR functionality that integrated the medication list with the structured medication adverse reaction repository (odds ratio 48.6, p < 0.0001). Integration of information flow between EMR modules can help improve documentation and potentially prevent adverse drug events.
Authors:
Stephen Skentzos; Maria Shubina; Jorge Plutzky; Alexander Turchin
Related Documents :
841408 - Preparation of figures for medical articles: guidelines for physician-authors.
17892088 - Retelling urban legends.
15055388 - A testimony to muzil: hervé guibert, foucault, and the medical gaze.
11437158 - Thalamic stimulation for primary writing tremor.
20088358 - National collaborative: top five drugs reported as causing harm through medication erro...
19874498 - Medical training and the hospital at night: an oxymoron?
Publication Detail:
Type:  Journal Article     Date:  2011-10-22
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  2011     ISSN:  1942-597X     ISO Abbreviation:  AMIA Annu Symp Proc     Publication Date:  2011  
Date Detail:
Created Date:  2011-12-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1270-9     Citation Subset:  IM    
Affiliation:
Brigham and Women's Hospital, Inc.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

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


Previous Document:  Wireless Data Collection of Self-administered Surveys using Tablet Computers.
Next Document:  Statistical machine translation for biomedical text: are we there yet?