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PMID: 22195188 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Validation Study

Structured vs. unstructured: factors affecting adverse drug reaction documentation in an EMR repository.

AMIA ... Annual Symposium proceedings. AMIA Symposium ·Vol. 2011 ·2011-00-00 ·Pages 1270-9

Skentzos S, Shubina M, Plutzky J, Turchin A

Abstract

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.

MeSH Terms
Adverse Drug Reaction Reporting Systems Algorithms Electronic Health Records Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors/adverse effects Multivariate Analysis Natural Language Processing Retrospective Studies Sensitivity and Specificity Software Systems Integration
Chemicals
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Skentzos Stephen
Brigham and Women's Hospital, Inc., Boston, MA, USA.
Shubina Maria
Plutzky Jorge
Turchin Alexander
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Article Info
Journal
AMIA ... Annual Symposium proceedings. AMIA Symposium
Abbr.
AMIA Annu Symp Proc
ISSN
1942-597X
Published
2011-00-00
Epub
2011-00-22
Pages
1270-9
Language
English
Region
United States
NLM ID
101209213
PMCID
PMC3243255
Subset
IM
Grants
NLM NIH HHS · RC1 LM010460 · United States
NLM NIH HHS · 1RC1LM010460 · United States
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