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Effects of CPOE on provider cognitive workload: a randomized crossover trial
Jeffrey Avansino1, Michael G Leu
1Division of General and Thoracic Surgery, Seattle Children's Hospital, PO Box 50010, Seattle, WA 98105, USA. jeffrey.avansino@seattlechildrens.org
Pediatrics
|August 15, 2012
Summary
Systematically developed clinical decision support tools improved usability and reduced cognitive workload for surgeons. These tools enhance guideline adherence without increasing time or clicks.
Area of Science:
- Medical Informatics
- Surgical Workflow Optimization
- Human-Computer Interaction in Healthcare
Background:
- Clinical decision support systems (CDSS) aim to improve patient care and reduce errors.
- The usability and cognitive impact of systematically developed CDSS are not fully understood.
- Order sets are a common form of CDSS in surgical settings.
Purpose of the Study:
- To evaluate the usability benefits of systematically developed clinical decision supports.
- To assess the impact of these supports on surgeon cognitive workload.
- To compare systematically developed order sets with ad hoc developed ones.
Main Methods:
- A randomized crossover trial involving seven surgeons at a pediatric hospital.
- Surgeons used both systematically developed and ad hoc developed order sets for pediatric appendicitis postoperative management.
- Data collected included videorecordings, System Usability Scale, and NASA-Task Load Index scores.
Main Results:
- Systematically developed order sets were unanimously preferred by participants.
- Higher usability scores (75 ± 10 vs 60 ± 19) and lower cognitive workload scores (37.7 ± 15 vs 52.2 ± 12) were observed.
- Order sets led to greater adherence to clinical guidelines without significant differences in time, clicks, or free text entry.
Conclusions:
- Systematically designed order sets enhance system usability and guideline adherence.
- These supports effectively reduce cognitive workload and order variation in surgical care.
- No significant improvements were found in time spent, mouse clicks, or free text entry.
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Crossover Experiments
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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