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The effect of data-entry template design and anesthesia provider workload on documentation accuracy, documentation
Bryan A Wilbanks1, Eta S Berner2, Gregory L Alexander3
1School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Computer-assisted data entry improves documentation accuracy and efficiency for anesthesia providers, reducing workload compared to auto-filling or paper methods. Further study is recommended for this promising approach.
Area of Science:
- Anesthesiology
- Health Informatics
- Human Factors Engineering
Background:
- Limited evidence-based guidelines exist for designing clinical data-entry templates.
- Template design impacts usability, accuracy, and efficiency in healthcare documentation.
- Anesthesia provider workload is a critical factor in documentation quality.
Purpose of the Study:
- To explore the impact of data-entry template design on documentation accuracy, efficiency, and user satisfaction.
- To identify optimal data-entry methods for future documentation interface design.
- To assess the influence of anesthesia provider workload on documentation outcomes.
Main Methods:
- Observational data collection and psychometric instruments were used.
- Three data-entry methods were compared: auto-filling, computer-assisted selection, and paper-based.
- Thirty nurse anesthetists across three hospitals participated in the study.
Main Results:
- Auto-filling yielded the lowest documentation accuracy (61.2%).
- Computer-assisted data entry demonstrated the highest accuracy (81.3%) and efficiency (9.65% time).
- Paper-based documentation resulted in the highest perceived workload (M=288).
Conclusions:
- Auto-filling with unstructured data should be used cautiously due to low accuracy.
- Computer-assisted data entry with semi-structured data shows potential for improved accuracy, efficiency, and reduced workload.
- Further research into computer-assisted data entry is warranted for optimizing perioperative documentation.
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