Document Detail

Clinical trials in silico: rigorous assessment of treatment effect using electronic health records.
MedLine Citation:
PMID:  18999175     Owner:  NLM     Status:  MEDLINE    
With their ability to balance measured and unmeasured confounders, randomized controlled trials (RCTs) provide the highest level of evidence regarding the effect of treatment. Analyses of administrative data have had inconsistent success when compared with the results of RCTs. Much of the error can be attributed to the quality and completeness of the data sources as well as suboptimal study design and analytical approaches which differ significantly from the RCT. The comprehensive, longitudinal data within Electronic Health Records (EHRs) can overcome the data quality issues. This report describes a new analytical method for EHR data that successfully replicates RCT results.
Mark G Weiner; Dawei Xie; Richard L Tannen
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Publication Detail:
Type:  Journal Article     Date:  2008-11-06
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  -     ISSN:  1942-597X     ISO Abbreviation:  -     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-12     Completed Date:  2010-01-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1172     Citation Subset:  IM    
University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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MeSH Terms
Electronic Health Records*
Models, Theoretical*
Outcome Assessment (Health Care) / methods*
Randomized Controlled Trials as Topic / methods*
Treatment Outcome

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

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