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A Comparison of One- and Four-Open-Chart Access: No Change in Computerized Provider Order Entry Error Rates
Paula Scariati1, Herschel Knapp2, Stuart Gray2
1Health Informatics, Dignity Health, San Francisco, California, United States.
Applied Clinical Informatics
|October 24, 2019
Summary
Switching providers to one-chart access did not change computerized provider order entry error rates. Differences between specialties suggest workflow variations need further study.
Area of Science:
- Health Informatics
- Medical Error Analysis
- Clinical Workflow Optimization
Background:
- Computerized provider order entry (CPOE) systems are crucial for medication safety.
- The impact of simultaneous chart access on CPOE error rates is not well understood.
- Rapid changes in system access can affect provider performance and patient safety.
Purpose of the Study:
- To evaluate the effect of restricting access from four to one chart on CPOE error rates.
- To compare error rates across different provider specialties after access restriction.
Main Methods:
- An interrupted time series analysis was conducted on emergency medicine, hospitalist, and maternal child health providers.
- Error rates were compared across four phases: baseline (4 charts), restricted (1 chart), return to 4 charts, and follow-up (4 charts).
- Statistical analysis included Wilcoxon signed-rank and Kruskal-Wallis tests.
Main Results:
- No statistically significant differences in CPOE error rates were observed across the four phases overall or within specialties.
- Significant differences in CPOE error rates were found between the three specialties in each phase.
- Specialty-specific error rates varied significantly, indicating distinct workflow or practice patterns.
Conclusions:
- Limiting providers to one chart simultaneously does not increase CPOE error rates.
- Inter-specialty differences in error rates highlight the need to investigate standardized order sets, charting practices, and workflow variations.
- Further research is warranted to optimize CPOE use and minimize errors based on specialty-specific needs.
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