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Toward a better understanding of task demands, workload, and performance during physician-computer interactions
Lukasz M Mazur1, Prithima R Mosaly2, Carlton Moore3
1Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC, USA lmazur@med.unc.edu.
Summary
Physician interactions with electronic medical records (EMR) show that higher task demands directly impact performance. This study highlights task demands as a potential quality metric for EMR systems, possibly reflecting patient outcomes.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Cognitive Engineering
Background:
- Electronic Medical Records (EMR) are integral to modern healthcare.
- Understanding physician interaction with EMR systems is crucial for optimizing usability and performance.
- Previous research has explored workload and performance but the direct link with task demands in EMRs needs further investigation.
Purpose of the Study:
- To assess the relationships between task demands, workload, and performance during physician-EMR interactions.
- To investigate how different EMR systems and clinical scenarios influence these relationships.
- To determine if task demands can serve as a proxy for performance and potentially patient outcomes.
Main Methods:
- Two experiments were conducted using two EMR environments (WebCIS and Epic) with 29 physicians.
- Participants completed three clinical scenarios (UTI, PN, HF).
- Task demands were measured via behavioral analysis (clicks, time), subjective workload via NASA-TLX, physiological workload via pupillometry and EEG, and performance via omission errors.
Main Results:
- Significant differences in task demands were found across clinical scenarios within each EMR system (p < .01).
- Regression analysis revealed a significant relationship solely between task demands and performance (p < .01).
- No significant relationships were found between task demands and workload, or workload and performance.
Conclusions:
- Task demands experienced by physicians are directly related to their performance in EMR environments.
- Task demands may serve as a valuable quality metric for EMR systems, potentially correlating with performance and patient outcomes.
- This study provides a foundation for future research on optimizing EMR usability and its impact on clinical practice.
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