@article{6792,
  author = {Adam B. Wilcox and Yueh-Hsia Chen and George Hripcsak},
  title = {Minimizing electronic health record patient-note mismatches.},
  abstract = {<p>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.</p>},
  year = {2011},
  journal = {J Am Med Inform Assoc},
  volume = {18},
  pages = {511-4},
  month = {12/2011},
  issn = {1527-974X},
  doi = {10.1136/amiajnl-2010-000068},
  language = {eng},
}