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Assessing Use Errors Related to the Interface Design of Electrosurgical Units
AORN Journal
|January 18, 2018
Summary
Medical device use errors, like electrosurgical unit (ESU) connection mistakes, can be reduced. User interface design improvements in ESUs enhance safety and performance, leading to better clinical outcomes and fewer adverse events.
Area of Science:
- Medical device safety
- Human factors engineering
- Clinical engineering
Background:
- Medical device use errors, particularly with electrosurgical units (ESUs), pose risks for adverse events.
- Current healthcare facility procurement processes lack proactive use-error risk assessment for devices.
- Instrument connection errors are a significant concern in the use of ESUs.
Purpose of the Study:
- To identify electrosurgical unit (ESU) user interface design features that can prevent or mitigate instrument connection errors.
- To evaluate the impact of user interface design on ESU instrument connection accuracy, efficiency, and user acceptance.
- To inform the development of a decision-support tool for pre-purchase ESU risk assessment.
Main Methods:
- A randomized crossover study involving 36 current electrosurgical unit (ESU) users.
- Participants used two ESU models with varying user interface designs in a simulated operating room scenario.
- Comparison of instrument connection accuracy, task efficiency, and subjective user feedback between ESU models.
Main Results:
- The ESU model incorporating more user interface design principles demonstrated superior performance.
- Participants exhibited higher instrument connection accuracy and efficiency with the improved ESU model.
- The user interface with enhanced design principles received greater user acceptance.
Conclusions:
- User interface design is critical for preventing electrosurgical unit (ESU) instrument connection errors.
- ESU models with better human-centered design lead to improved user performance and acceptance.
- A decision-support tool was developed to aid in assessing ESU instrument connection error risk prior to acquisition.
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