Presentation
Human Factors in Fatigue Risk Management Systems for Air and Ground Medical Transport
DescriptionObjective:
This presentation explores the application of Fatigue Risk Management System (FRMS) principles—widely adopted in commercial aviation—to air and ground medical transport operations. The aim is to present a human factors–driven framework for proactively mitigating fatigue-related risk among pilots, drivers, and medical crews.
Background:
Fatigue has been identified as a leading contributor to performance degradation and errors in both aviation and emergency medical services. While commercial aviation has benefited from systematic FRMS implementation, most air ambulance and ground EMS providers still rely on static duty-hour limits and self-reporting, which do not adequately account for cumulative fatigue, circadian rhythm disruption, and workload intensity.
Method:
Drawing on operational data from helicopter flight instructors and case analyses of EMS duty schedules, this work proposes a multi-layered FRMS framework. Components include objective vigilance testing (Psychomotor Vigilance Task), subjective scales (Karolinska, Samn-Perelli), duty/rest modeling, and real-time alertness prediction algorithms.
Results:
Simulated scenarios demonstrate that integrating FRMS elements can reduce predicted fatigue-related performance risk by 20–35% across 12- and 24-hour shift cycles. The framework highlights how proactive scheduling, real-time monitoring, and feedback loops between management and crews can close safety gaps.
Conclusion:
Transferring FRMS best practices from aviation to EMS has the potential to significantly improve patient safety, crew well-being, and mission reliability.
Application:
Attendees will gain actionable insights on implementing FRMS in air and ground medical transport, including stepwise adoption strategies, technology requirements, and organizational policy considerations.
This presentation explores the application of Fatigue Risk Management System (FRMS) principles—widely adopted in commercial aviation—to air and ground medical transport operations. The aim is to present a human factors–driven framework for proactively mitigating fatigue-related risk among pilots, drivers, and medical crews.
Background:
Fatigue has been identified as a leading contributor to performance degradation and errors in both aviation and emergency medical services. While commercial aviation has benefited from systematic FRMS implementation, most air ambulance and ground EMS providers still rely on static duty-hour limits and self-reporting, which do not adequately account for cumulative fatigue, circadian rhythm disruption, and workload intensity.
Method:
Drawing on operational data from helicopter flight instructors and case analyses of EMS duty schedules, this work proposes a multi-layered FRMS framework. Components include objective vigilance testing (Psychomotor Vigilance Task), subjective scales (Karolinska, Samn-Perelli), duty/rest modeling, and real-time alertness prediction algorithms.
Results:
Simulated scenarios demonstrate that integrating FRMS elements can reduce predicted fatigue-related performance risk by 20–35% across 12- and 24-hour shift cycles. The framework highlights how proactive scheduling, real-time monitoring, and feedback loops between management and crews can close safety gaps.
Conclusion:
Transferring FRMS best practices from aviation to EMS has the potential to significantly improve patient safety, crew well-being, and mission reliability.
Application:
Attendees will gain actionable insights on implementing FRMS in air and ground medical transport, including stepwise adoption strategies, technology requirements, and organizational policy considerations.
Event Type
Oral Presentations
TimeWednesday, March 258:30am - 8:52am EDT
LocationMorgan
Simulation and Education