Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1136/amiajnl-2010-000068 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION |
Keywords | Field | DocType |
user interface,statistical significance | World Wide Web,Knowledge management,Medical record,Medical emergency,User interface,Documentation,Patient Note,Medicine | Journal |
Volume | Issue | ISSN |
18 | 4 | 1067-5027 |
Citations | PageRank | References |
9 | 0.88 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Wilcox | 1 | 215 | 35.66 |
| Yueh-Hsia Chen | 2 | 13 | 1.66 |
| George Hripcsak | 3 | 1493 | 160.86 |