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A Task-Analytic Framework Comparing Preoperative Electronic Health Record-Mediated Nursing Workflow in Different
Lu Zheng1, David R Kaufman, Benjamin J Duncan
1Author Affiliations: Biomedical Informatics, Arizona State University, Scottsdale (Ms Zheng, Mr Duncan, and Drs Kaufman, Furniss, Grando, and Doebbeling); Information and Knowledge Management, Mayo Clinic, Rochester, Minnesota (Drs Kaufman, Furniss, Grando, and Helmers and Mr Miksch); and Science of Healthcare Delivery, Arizona State University (Dr Doebbeling); and Department of Anesthesiology, Mayo Clinic (Dr Poterack), Phoenix, Arizona.
Optimizing preoperative nursing workflow is complex. This study found significant variations in electronic health record (EHR) task distribution and off-screen activities between two regional centers, highlighting the need for workflow standardization.
Area of Science:
- Nursing Informatics
- Healthcare Operations Management
- Health Services Research
Background:
- Preoperative care is a critical, time-sensitive process.
- Optimizing nursing workflow is challenging due to a lack of standardized analysis methods.
- Electronic health record (EHR) systems significantly impact preoperative nursing tasks.
Purpose of the Study:
- To comprehensively characterize EHR-mediated preoperative nursing workflow.
- To investigate and explain variations in workflow patterns.
- To identify factors contributing to workflow differences across settings.
Main Methods:
- Employed a structured methodological framework for workflow investigation.
- Utilized video recording software to capture 10 preoperative cases across two regional referral centers (Arizona and Florida).
- Conducted quantitative analysis of EHR and off-screen task distribution, supplemented by qualitative analysis of variations.
Main Results:
- Significant differences in EHR and off-screen task time distribution and patterns were observed between the two sites, despite using the same EHR system.
- Nurses in Arizona spent more time on preoperative assessments, with EHR tasks comprising a larger proportion of their work.
- Florida nurses allocated a higher proportion of time to off-screen tasks, with variations linked to documentation workload, patient preparation, and regional factors.
Conclusions:
- Workflow patterns in preoperative nursing differ substantially even with identical EHR systems.
- Documentation workload, patient preparation needs, and regional differences are key factors influencing workflow variation.
- Findings support future research for standardizing and harmonizing preoperative nursing workflows across different healthcare settings.
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