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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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Improving Transport Safety by Limiting Driver Duty Hours Utilizing Simulation to Optimize Team Schedules
1Nationwide Children's Hospital.
Air Medical Journal
|October 4, 2019
Summary
Implementing a 14-hour duty limit for emergency medical services (EMS) drivers significantly reduced extended shifts. A computer simulation optimized scheduling, ensuring team availability while enhancing safety for critical care transport.
Area of Science:
- Medical Transport Safety
- Occupational Health in Emergency Services
- Logistics and Operations Research
Background:
- Fatigue poses a significant safety risk in medical transport, similar to aviation and commercial driving.
- Existing medical transport lacks strict duty hour guidelines, unlike other safety-critical industries.
- Implementing commercial truck driver duty hour limits for EMS drivers was explored to enhance safety.
Purpose of the Study:
- To decrease driver duty hours in critical care transport to a maximum of 14 hours.
- To develop and implement a computer-based simulation for optimizing team schedules.
- To minimize the impact of reduced duty hours on team availability.
Main Methods:
- A Plan-Do-Study-Act (PDSA) cycle was used to implement policy and process changes.
- A 14-hour duty limit policy was established, allowing drivers to decline exceeding trips.
- A simulation model using historical transport data was developed to test scheduling solutions.
Main Results:
- Trips exceeding driver duty limits decreased from six in 2017 to zero in 2018.
- A simulation identified optimal scheduling combinations that balanced team performance and availability.
- Scheduling drivers separately from team members did not yield measurable improvements.
Conclusions:
- Prioritizing safety in medical transport is paramount for patients and crew.
- A driver duty hour policy effectively addresses fatigue-related safety risks at the end of long shifts.
- Simulation tools are valuable for optimizing schedules to minimize extended shifts and maximize team availability.
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