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Impact of Data Entry Interface Design on Cognitive Workload, Documentation Correctness, and Documentation Efficiency.
Bryan A Wilbanks1, Jacqueline A Moss1
1University of Alabama at Birmingham, Birmingham, AL.
Summary
This study evaluated how different electronic health record (EHR) data entry methods affect anesthesia providers. Eye-tracking revealed that interface design significantly impacts documentation accuracy, efficiency, and provider cognitive workload.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Patient Safety
Background:
- Clinical documentation is vital for patient care and legal records.
- Poorly designed electronic health record (EHR) interfaces can lead to errors, impacting patient safety.
- Understanding user interface (UI) effects on documentation is crucial for improving healthcare.
Purpose of the Study:
- To assess the impact of different computer-assisted data entry types on anesthesia provider documentation.
- To analyze documentation correctness, efficiency, and cognitive workload using eye-tracking technology.
- To evaluate the usability of various EHR interface elements.
Main Methods:
- Employed an artificial electronic health record (EHR) simulation with eye-tracking hardware.
- Recruited 20 anesthesia providers to perform documentation tasks.
- Compared data entry methods: drop-down boxes, radio buttons, check-boxes, and free text with autocomplete.
Main Results:
- Significant differences observed in documentation correctness and efficiency across various data entry types.
- Eye-tracking data indicated varying levels of cognitive workload associated with each interface.
- Free text with autocomplete showed potential for improved efficiency but required further analysis for accuracy.
Conclusions:
- EHR interface design critically influences documentation quality and provider cognitive load.
- The study methodology can be adapted to evaluate other healthcare professionals and EHR systems.
- Optimizing EHR data entry interfaces is essential for enhancing patient safety and clinical decision-making.
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