Minimizing electronic health record patient-note mismatches

Adam B. Wilcox, Yueh Hsia Chen, George Hripcsak

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish
Pages (from-to)511-514
Number of pages4
JournalJournal of the American Medical Informatics Association
Volume18
Issue number4
DOIs
StatePublished - Jul 2011

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