Human Factors in Airway Management: Designing Systems for Safer, Team-Based Care
Abstract
1. Introduction
2. Understanding Human Factors in Airway Management
2.1. Theoretical Framework: Human Factors and the SEIPS Model
2.2. Lessons from NAP4 and Sentinel Cases
2.2.1. FONA (Front of Neck Access) as a Critical Vulnerability Identified by NAP4
2.2.2. System-Level Implications
3. Technological Advances in Airway Devices
3.1. Overview of Emerging Airway Devices
3.2. Ergonomic and Usability Considerations
3.3. Impact on Decision-Making and Team Roles
4. Human-System Interaction in Modern Airway Management: Training, Tasks, and Teamwork
5. Designing for Safety: Environment, Equipment, and Workflows
5.1. Physical Layout of Airway Carts and Clinical Spaces
5.2. Device Accessibility and Visibility as Decision Prompts
5.3. Cognitive Aids and Workflow Standardization
6. Case Studies and Implementation Strategies
6.1. Real-World Examples from Clinical Practice
6.2. Barriers to Implementation
6.3. Enablers of Effective Integration
7. Scalable Models and Frameworks
8. Sustainability, Cost, and Global Equity Considerations
8.1. Disposable vs. Reusable Technologies
8.2. Public Policy Perspective
8.3. Procurement Guided by Human Factors
8.4. Implications for Low-Resource Settings
8.5. The Role of Industry in User-Centered Design
9. Future Directions
9.1. Research Gaps
9.2. Implementation Roadmap for Human Factors Integration
9.3. Artificial Intelligence and National Databases
10. Conclusions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Equipment | Human-Centered Systems (HCS) | Airway Incidents/Human Factors Insights |
|---|---|---|
| Videolaryngoscope | Ergonomic screen placement; shared visualization enables teamwork; simulation-based usability studies; SEIPS-based workflow integration | NAP4: Miscommunication, role ambiguity, fixation on view; poor screen angle led to delayed intubation in some cases |
| Video Laryngeal Mask Airway | Combines SGA seal with camera for continuous visualization; design for rescue and training; usability studies ongoing | Early studies: improved rescue success but new failure modes (camera fogging, interpretation errors) under stress |
| Combined Technique (e.g., VL + rigid or semi-flexible videostylet) | Requires clear coordination and shared mental model; training on hybrid use; ergonomic handling and visibility critical | Case reports: confusion and role overlap during dual-device use; need for cognitive aids to sequence tasks |
| Flexible Intubation Scope | Design: portable, single-use reduces infection risk; manikin-based simulation for familiarization; emphasis on intuitive controls | NAP4: Delays due to lack of familiarity; errors in scope handling; high cognitive load in emergencies |
| Adjuncts (e.g., Bougie, SGA, FONA kits) | Cart design and visibility as cognitive cues; color-coded drawers aligned with airway algorithm; integration with checklists | NAP4: Missing or mislaid adjuncts contributed to failed escalation (‘can’t intubate, can’t oxygenate’ delays) |
| Airway Carts/Environment | Human factors layout—standardized drawers by algorithm steps; clear labeling and visual prompts; accessibility and lighting design | Poorly organized carts delayed response; inconsistent layouts between departments increased error risk |
| Cognitive Aids & Algorithms (e.g., Vortex, DAS) | Laminated cognitive aids at point of care; embedded into training and workflow; team briefings; closed-loop communication | Failure to follow escalation algorithms; cognitive overload under pressure; lack of shared situational awareness |
| Training/Simulation | Manikin-based high-fidelity simulation; team-based drills; focus on shared visualization and cognitive load management | Real-world cases show training gaps as root cause of airway incidents; simulation reduces fixation and error rates |
| Procurement & Design Process | Inclusion of end users; usability and ergonomics validation; feedback loops post-deployment | Devices selected on cost not usability led to underuse or confusion during emergencies |
| What the Industry Must Do |
|
| What Healthcare Systems Should Demand |
|
| The Outcome |
| Devices that fit the cognitive, procedural, and environmental realities of airway care—reducing error, improving coordination, and enabling safer decisions under pressure. Design is not decoration. It is safety. From the shape of a blade to the layout of a cart, every design choice can support—or sabotage—clinical performance. |
| SEIPS Domain | Known Best Practices/Current Evidence | Areas Requiring Further Validation/Research Gaps |
|---|---|---|
| People (Care Team) | Team briefings, role clarity, simulation training, and airway lead programs improve team coordination and situational awareness. | Limited quantitative data linking team training to hard clinical outcomes (e.g., hypoxaemia rates, first-pass success). |
| Tasks | Use of checklists and standardized algorithms (DAS, Vortex) reduces cognitive load and omissions during airway crisis. | Need for empirical testing of algorithm compliance and decision aids in emergency (non-theatre) settings. |
| Tools & Technology | Videolaryngoscopy improves glottic view and first-pass success vs. direct laryngoscopy; supraglottic devices and VLMA reduce trauma risk. | Low certainty for major patient outcomes (e.g., hypoxaemia, mortality); insufficient comparative data among VL models and VLMA types. |
| Physical Environment | Standardized airway trolleys and optimized layout improve equipment retrieval and team ergonomics in simulation. | Lack of multicentre clinical trials linking cart design or layout optimization to patient outcomes; variable transferability across contexts. |
| Organization/System | Airway governance models and safety culture initiatives improve incident reporting and readiness. | Sparse evidence on system-level ROI, scalability in resource-limited hospitals, and integration with quality improvement frameworks. |
| Cross-Domain Interactions | Human-factors-based system design (SEIPS, Ecosystem approach) widely endorsed conceptually. | Empirical data missing on how changes in organization or environment modify technology or team performance effects. |
| Stage/Domain | Key Actions and Strategies | Intended Outcomes |
|---|---|---|
| 1. Organizational Commitment and Governance | • Establish an Airway Governance Group integrating anesthesia, ICU, and emergency medicine. • Appoint an Airway Lead responsible for system oversight, training, and incident review. • Embed human factors within institutional safety and quality policies. | Institutional accountability; formalized leadership; alignment of human factors with safety metrics. |
| 2. System Design and Standardization | • Develop standardized Airway Carts with uniform drawer layout, color coding, and cognitive aids. • Ensure consistent availability of VL, VLMA, FIS across sites. • Integrate checklists and cognitive tools into workflows. • Perform ergonomic assessments of OR, ICU, and ED layouts. | Improved accessibility and ergonomics; reduced variability; enhanced task efficiency. |
| 3. Human Performance and Team Training | • Implement multidisciplinary simulation focusing on technical and non-technical skills (communication, leadership, situational awareness). • Use structured briefing/debriefing tools for airway events. • Integrate learning from excellence and incident review feedback. | Enhanced team coordination and resilience; improved communication; reduction in preventable errors. |
| 4. Technology Evaluation and Integration | • Evaluate new devices (VL, VLMA, FIS) for usability, setup time, and display ergonomics. • Involve frontline clinicians in procurement decisions. • Establish digital data capture or airway event logs for audit and improvement. | Evidence-based technology adoption; better user-device fit; continuous data-driven learning. |
| 5. Culture and Continuous Learning | • Foster a Just Culture promoting open discussion of successes and near misses. • Conduct regular Airway Safety Rounds and multidisciplinary reviews. • Integrate outcomes into policy updates, simulation scenarios, and procurement decisions. | Sustained safety culture; organizational learning; ongoing refinement of systems. |
| 6. Evaluation and Research | • Define key indicators: equipment readiness, training participation, checklist adherence, patient safety outcomes. • Use Plan-Do-Study-Act (PDSA) cycles for iterative improvement. • Participate in multicenter research assessing system-level interventions. | Objective measurement of progress; scalable, data-supported improvement in airway safety. |
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Gómez-Ríos, M.Á.; Michalek, P.; Gaszyński, T.; Van Zundert, A.A.J. Human Factors in Airway Management: Designing Systems for Safer, Team-Based Care. J. Clin. Med. 2025, 14, 8850. https://doi.org/10.3390/jcm14248850
Gómez-Ríos MÁ, Michalek P, Gaszyński T, Van Zundert AAJ. Human Factors in Airway Management: Designing Systems for Safer, Team-Based Care. Journal of Clinical Medicine. 2025; 14(24):8850. https://doi.org/10.3390/jcm14248850
Chicago/Turabian StyleGómez-Ríos, Manuel Á., Pavel Michalek, Tomasz Gaszyński, and André A. J. Van Zundert. 2025. "Human Factors in Airway Management: Designing Systems for Safer, Team-Based Care" Journal of Clinical Medicine 14, no. 24: 8850. https://doi.org/10.3390/jcm14248850
APA StyleGómez-Ríos, M. Á., Michalek, P., Gaszyński, T., & Van Zundert, A. A. J. (2025). Human Factors in Airway Management: Designing Systems for Safer, Team-Based Care. Journal of Clinical Medicine, 14(24), 8850. https://doi.org/10.3390/jcm14248850
