Literature DB >> 21486875

Minimizing electronic health record patient-note mismatches.

Adam B Wilcox1, Yueh-Hsia Chen, George Hripcsak.   

Abstract

We measured the prevalence (or rate) of patient-note mismatches (clinical notes judged to pertain to another patient) in the electronic medical record. The rate ranged from 0.5% (95% CI 0.2% to 1.7%) before a pop-up window intervention to 0.3% (95% CI 0.1% to 1.1%) after the intervention. Clinicians discovered patient-note mismatches in 0.05-0.03% of notes, or about 10% of actual mismatches. The reduction in rates after the intervention was statistically significant. Therefore, while the patient-note mismatch rate is low compared to published rates of other documentation errors, it can be further reduced by the design of the user interface.

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Year:  2011        PMID: 21486875      PMCID: PMC3128397          DOI: 10.1136/amiajnl-2010-000068

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  8 in total

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